Overview
Paper: PIIS0895435624004025_Vancouver.pdf • Style: VancouveriDominant Pattern Analysis Citations: Only one type/purpose combination appears across all in-text citations: Indirect + Support. Dominant format: square-bracketed numerals referencing the bibliography, with the bracket placed immediately before terminal punctuation (e.g., "... text [1]."). Multiple sources are combined within a single bracket, separated by commas without spaces (e.g., "[3,4]", "[7,13]"). No author names, years, or page numbers are included in-text; no superscripts; round parentheses are not used. When adjacent to quoted terms, the bracket follows the closing quotation mark (e.g., "...'GPT-2 Output Detector' [7,13]."). No Direct, Mention, or other citation types/purposes were observed. Sources: Dominant format is numeric Vancouver-style entries beginning with a bracketed index: "[n]". Author names use "Lastname Initials" (initials concatenated, no periods between letters), authors separated by commas; when there are more than six authors, list the first six followed by ", et al.". Titles appear in sentence case and end with a period. Journal titles use standard abbreviations. Core publication details follow as "Year;Volume(Issue):Pages" with no space after the semicolon in most entries (e.g., "2023;86(4):351-3."); page identifiers may be ranges (often shortened last digits) or e-locators (e.g., "e53164", "e080208"). Variants: one entry has a space after the semicolon ("2023; 379(6630):313."), one uses conference format with "In:" plus proceedings title and year before pages, and one arXiv entry includes platform and DOI ("arXiv 2023. https://doi.org/..."). Overall elements present: numeric label, authors, article title, abbreviated journal (or venue), year;volume(issue):pages/e-locator, with occasional DOI for preprints.
Citation Analysis
Source Analysis
Key Findings
- ! Reference‑list formatting errors and inconsistencies undermine precision and discoverability. • Conference paper [4]: Author name is misspelled (“Shmitchell S.” instead of “Mitchell M.”), and the title ends with a stray period after a question mark (“... too big?. ...”). This double punctuation violates Vancouver norms and may hinder indexing. • Journal article [14]: The page range is wrapped in TeX math delimiters (“JAMA 2023;329(15): $1253-4$.”), with an extra space after the colon. This is a clear style error that could propagate into typesetting or bibliographic exports. • Editorial [9]: Entered without any author surrogate. While unsigned editorials can begin with the title in Vancouver, the list largely follows an author‑led pattern; lack of a named or institutional author (e.g., “Nature Editorial”/“Nature Editors”) creates internal inconsistency. Overall, 3 of 15 references (20%) show issues.
- ! A ghost source is present in the bibliography, indicating incomplete curation. • [15] BMJ 2024 (e080208) appears in the reference list but is not cited in the text (0 in‑text mentions). This constitutes 1/15 entries (6.7%) and suggests the bibliography was not fully reconciled with the manuscript. Uncited items can confuse readers and peer reviewers and may be flagged during editorial checks.
- ! Publisher concentration risks narrowing viewpoint and inflating specific editorial positions. • Five of the 15 sources (33%) are from journals in the American Medical Association family (JAMA and JAMA Ophthalmology: [2], [7], [8], [10], [14]). This exceeds a reasonable 30% threshold and may bias the argument toward one publisher’s editorial framing, especially given that several of these are editorials or policy pieces.
- ! Evidence base leans toward editorials and policy commentary rather than empirical studies. • Empirical/peer‑reviewed research includes [3] (Lancet Digital Health), [6] (JMIR), [7] (JAMA Ophthalmology), [13] (NPJ Digital Medicine), and the peer‑reviewed conference paper [4]; the Llama 2 technical report [5] is a non‑peer‑reviewed preprint. That yields roughly 5–6 of 15 items (about 33%–40%) as primary research, with the remainder being editorials, correspondences, or policy statements ([8]–[12], [14]). Over‑reliance on opinion pieces can weaken methodological robustness.
- ✓ In‑text citation practice is rigorous and consistent across the manuscript. • All 28 citations are correctly formatted (100% accuracy) and consistently placed before terminal punctuation. Grouped citations are uniform (comma‑separated without spaces, for example, “[3,4]” and “[7,13]”). No missing or implausible in‑text references were detected.
- ✓ Source recency and topical focus are excellent. • All 15 items were published in 2023–2024 relative to 2025, so 0% are older than 10 years. This ensures the discussion reflects current policy and technical developments in generative AI and academic publishing.
Recommendations
- Correct the three problematic bibliography entries and standardize punctuation. • [4] Replace the misspelled author and remove stray punctuation: “Bender EM, Gebru T, McMillan‑Major A, Mitchell M. On the dangers of stochastic parrots: can language models be too big? In: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. 2021;610‑23.” (Optionally add editors, publisher, and location if required by the target journal.) • [14] Remove TeX delimiters and the extra space: “Ioannidis JPA, Pezzullo AM, Boccia S. The rapid growth of mega‑journals: threats and opportunities. JAMA 2023;329(15):1253‑4.” • [9] Add an institutional author surrogate to align with the author‑led pattern (if permitted by the journal): “Nature Editorial. Tools such as ChatGPT threaten transparent science; here are our ground rules for their use. Nature 2023;613(7945):612.” • Also standardize spacing in [11] to match the dominant pattern: “Science 2023;379(6630):313.”
- Remove or cite the ghost source to reconcile text and bibliography. • If [15] is important, integrate it into the narrative with an appropriate in‑text citation. If not, delete it from the reference list. Re‑run a reference manager’s “Find Uncited References” check to ensure no other items remain uncited.
- Broaden publisher and journal diversity to reduce concentration risk. • Aim to reduce AMA‑family items below 30% by incorporating comparable work from other publishers (e.g., Elsevier, Springer Nature beyond Nature editorials, BMJ research articles, IEEE/ACM journals). Target multi‑disciplinary venues and health‑policy sources to widen perspective.
- Strengthen the proportion of empirical evidence and primary guidelines. • Add more peer‑reviewed studies on AI‑generated text detection performance, bias assessments across domains, and evaluation of policy impacts. Where policy is cited, prioritize original organizational documents (e.g., COPE, WAME, ICMJE policy statements) rather than secondary editorials. This will raise the share of empirical and primary sources and improve methodological rigor.
- Add DOIs and verify NLM journal abbreviations for all items where available. • Several entries (e.g., JAMA, Nature, Science, JMIR, NPJ Digital Medicine) have DOIs; including them improves retrievability. Use PubMed’s NLM Catalog to confirm official journal abbreviations and harmonize capitalization and hyphenation.
- Maintain the successful in‑text citation conventions and document them in an internal style note. • Keep bracket placement before terminal punctuation and the comma‑without‑space convention for grouped citations. Add a brief style checklist to ensure future additions follow the same rules.
- Run a final automated and manual validation pass. • Use a reference manager set to Vancouver or a journal‑specific style file; export to plain text and scan for anomalies like stray symbols (e.g., “$” or extra spaces), truncated page ranges, and author initials. Cross‑check author spellings against source PDFs or PubMed records.
PageiThe page number where the citation appears in the document text. | Citation SentenceiThe complete sentence from the document that contains the citation. This provides context for how the source is being used in the text. | ReferenceiThe actual citation text (e.g., "(Smith, 2020)" or "[1]") that appears in the document and refers to a source in the bibliography. | TypeiClassification of citation type: • Direct: Exact words quoted from source (usually with quotation marks) • Indirect: Information paraphrased or summarized • Mention: Work only mentioned/listed among others • Other: Doesn't fit above categories | PurposeiThe purpose of the citation in the text: • Background: Provides context or background information • Support: Supports a claim, argument, or provides data/evidence • Opposition: Highlights disagreement or contrasting findings • Method: References a method, tool, or dataset used • Acknowledge: Builds on or acknowledges prior work • Other: Different purpose | Style AccuracyiWhether the citation follows the specified citation style correctly: • Correct: Follows style guidelines • Incorrect: Violates style rules • Unsure: Unclear or ambiguous formatting Considers language-specific conventions (e.g., German "S." vs English "p."). | Source FoundiVerification of whether the citation has a matching source in the bibliography: • Correct: Citation matches bibliography entry exactly • Uncertain: Minor spelling differences or ambiguity • Incorrect: No matching source found Searches bibliography for author names and publication years. | PlausibilityiAssessment of whether the citation content plausibly matches the referenced source: • Plausible: Citation likely represents source accurately • Likely: Probably accurate but with some uncertainty • Unlikely: Questionable accuracy • Incorrect: Citation does not match source content |
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1 | GenAI offers advanced language assistance that can improve text clarity and conciseness, aiding researchers in preparing enhanced-quality manuscripts that better align with international publishing standards without the need for professional copywriters [1]. | [1] | IndirectParaphrased claim about genAI improving manuscript clarity; no quotation marks or verbatim text. | SupportCited to provide evidence that genAI assists with language quality and reduces reliance on copywriters. |
Correct
Uses numeric in-text citation in square brackets, which is acceptable in Vancouver style implementations.
Placed at the end of the sentence with punctuation following the bracket, a common and acceptable journal-specific variation of Vancouver.
No author–year information included, consistent with Vancouver’s numeric system.
Ordering cannot be verified without the reference list, but formatting is consistent with Vancouver conventions.
Consistent
This Indirect/Support citation uses a square-bracketed numeral placed immediately before the period, with no author/year/page info, matching the dominant pattern
|
CorrectCitation '[1]' corresponds to the first entry in the numbered bibliography. Numbered styles primarily match by citation number; the number aligns exactly with the [1] bibliography entry. No ambiguity detected; a single, clear match is present. | likelyThe claim that GenAI offers advanced language assistance to improve clarity and conciseness is highly consistent with the topic and likely content of Chen's editorial, as indicated by the title and MeSH terms. The assertion that this aids researchers in preparing higher-quality manuscripts is a reasonable inference, as the article is cited in multiple secondary sources as discussing the benefits of AI in scientific writing. The more specific claim that GenAI enables alignment with international publishing standards and obviates the need for professional copywriters is somewhat interpretive and may go beyond what is explicitly stated in the editorial. However, given the editorial's focus and the common discourse around GenAI's impact on scientific writing, it is likely that such implications are at least discussed or suggested. The lack of direct evidence for the 'without the need for professional copywriters' component slightly weakens the match, but does not make it implausible. Overall, the claim is likely supported by the source, though some elements may be more interpretive than directly stated. |
1 | This empowers researchers and may also help tackle publication and selective reporting bias [2]. | [2] | IndirectThe sentence paraphrases an effect of genAI; no direct quote is used. | SupportProvides evidence to substantiate the claim regarding reducing publication/selective reporting bias. |
Correct
Numeric bracketed citation aligns with Vancouver-style formatting.
Citation appears at sentence end with punctuation after the bracket, which is acceptable in many Vancouver-based journal styles.
No author–year text included, matching Vancouver’s numeric approach.
Sequence/order cannot be confirmed without the reference list, but formatting is correct.
Consistent
This Indirect/Support citation follows the dominant square-bracket numeric style placed before terminal punctuation, with no author/year/page details
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CorrectCitation '[2]' corresponds to the second entry in the numbered bibliography: '[2] Matsui K, Koda M, Yoshida K. Implications of nonhuman "authors". JAMA 2023;330(6):566.' Numbered citation style is used; the primary matching criterion is the reference number, which matches exactly. No ambiguity or inconsistencies detected. | unlikelyThe claim that the source discusses empowering researchers and tackling publication/selective reporting bias is unlikely to be supported by the actual content of the cited letter. The letter is a one-page commentary in JAMA, and its title and context suggest a focus on the implications of nonhuman (AI) authorship, not on broader issues of research bias or empowerment. There is no evidence in the available metadata, publication type, or related discussions that the letter addresses the specific issues of publication bias or selective reporting bias, nor does it explicitly mention empowering researchers. Given the brevity and likely narrow focus of the letter, it is improbable that it covers the broader impacts claimed in the citation sentence. Limitations: The full text of the letter is not available, so this assessment is based on the title, publication type, and context from related sources. However, these strongly suggest the claim is not well supported. |
2 | First, genAI may harm science and patients by generating text that reinforces biases related to race, culture, or gender, because they reflect the data they were trained on [3,4]. | [3] | IndirectParaphrased claim about bias risks; no quotation marks or verbatim text. | SupportProvides evidence that LLMs can reinforce demographic biases. |
Correct
Vancouver style uses numeric citations in brackets that correspond to the reference list.
The text presents a grouped citation as [3,4], which is acceptable in Vancouver; extracting the individual [3] is consistent with numeric citation practice.
Placement immediately before the period is acceptable depending on journal conventions.
Consistent
This Indirect/Support citation uses a combined bracket [3,4] (comma without spaces) placed before the period, matching the dominant pattern
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CorrectCitation '[3]' corresponds to the third entry in the numbered bibliography. Numbered style matching (Vancouver/IEEE-like): primary criterion is the reference number; no author/year matching needed. The number aligns exactly with bibliography position 3; no ambiguity detected. | plausibleThe claim aligns closely with the source's title, abstract, and available summaries, which focus on the evaluation of GPT-4 for racial and gender bias in healthcare contexts. The study's methodology involves testing GPT-4's outputs for bias and assessing the impact on medical decision-making, which directly supports the assertion that genAI can reinforce biases present in training data. The claim's mention of harm to science and patients is justified by the study's findings that such biases can affect diagnostic accuracy and treatment recommendations, potentially leading to negative outcomes. The source's credibility is reinforced by its publication in a leading medical journal and the expertise of its authors. While the full text is not available, the abstract and related summaries provide sufficient evidence to support the plausibility of the claim. Limitations include lack of access to the full article, but the available information is robust and directly relevant. |
2 | First, genAI may harm science and patients by generating text that reinforces biases related to race, culture, or gender, because they reflect the data they were trained on [3,4]. | [4] | IndirectSummarizes prior concerns about LM biases without quoting. | SupportStrengthens the argument by citing foundational critique of large language models. |
Correct
Numeric bracketed citation conforms to Vancouver.
Grouped format [3,4] is acceptable; extracting [4] individually preserves numeric style mapping to the reference list.
Punctuation placement is acceptable within Vancouver variants.
Consistent
This Indirect/Support citation is part of the combined in-text reference [3,4] with comma-no-space formatting before the period, consistent with the dominant style
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CorrectCitation '[4]' corresponds to the fourth entry in the numbered bibliography: '[4] Bender EM, Gebru T, McMillan-Major A, Shmitchell S. On the dangers of stochastic parrots: can language models be too big?. In: Proceedings of the 2021 ACM conference on fairness, accountability, and transparency 2021;610-23.' The reference number matches the bibliography position exactly. Numbered citation style matching (position-based) is correctly implemented; no author/year disambiguation is required. | plausibleThe claim that genAI may reinforce biases related to race, culture, or gender due to the nature of their training data is directly supported by the main arguments of Bender et al.'s paper. The paper is widely cited and recognized as a foundational work on the ethical risks of large language models, particularly regarding bias and harm. Multiple reputable sources (including the ACM Digital Library, Semantic Scholar, and direct PDF excerpts) confirm that the paper discusses how language models can perpetuate and amplify harmful biases present in their training data, leading to real-world harms. The claim in the citation sentence is a concise summary of one of the paper's central points. There are no indications of misrepresentation or over-generalization, as the claim accurately reflects the scope and findings of the source. The lack of a specific page number is not problematic given the general nature of the claim and the paper's focus. The source is peer-reviewed and published in a high-quality venue, further supporting its reliability. |
2 | Indirect evidence is that, for instance, $89.7 %$ of the textual data used to train Meta's Llama 2 model is in English [5]. | [5] | IndirectProvides summarized data point from the cited source; no direct quote. | SupportOffers evidence for potential Western/English bias in training data. |
Correct
Bracketed numeric citation [5] matches Vancouver style.
Single reference number, correctly placed before the period.
Source is a preprint on arXiv (.org), which is acceptable as a scholarly source though not peer‑reviewed.
Consistent
This Indirect/Support citation uses a square-bracketed numeral [5] immediately before the period with no author/year/page, aligning with the dominant pattern
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CorrectCitation '[5]' corresponds to the fifth entry in the numbered bibliography: '[5] Touvron H, Martin L, Stone K, Albert P, Almahairi A, Babaei Y, et al. Llama 2: open foundation and fine-tuned chat models. arXiv 2023. https://doi.org/10.48550/arXiv.2307.09288.' The citation style is numbered (e.g., Vancouver/IEEE-like), so primary matching is by reference number. The reference number matches the bibliography position exactly, with no ambiguity. | likely- The claim is highly specific (89.7%) and refers to a well-publicized aspect of the Llama 2 model's training data. - Multiple independent, reputable sources (including Slator.com, which directly references the Llama 2 paper) state that 'nearly 90%' of the data is English, which is consistent with the 89.7% figure cited. - The Wikipedia article on Llama (language model) also discusses the overwhelming dominance of English in the training data, though it does not provide the exact percentage. - The original paper is a technical report by the model's creators (Meta AI), published on arXiv, a standard venue for machine learning research. This increases the likelihood that the statistic is accurately reported in the paper. - No evidence from secondary sources contradicts the claim, and the specificity of the percentage suggests it is drawn directly from the original paper's data tables or summary statistics. - The only limitation is the lack of direct access to the full text of the cited paper, but the convergence of multiple independent summaries on the same figure makes the claim very likely to be accurate. |
2 | GenAI-enabled chatbots may fabricate references resembling real biomedical literature (ie, 'hallucinations'), corrupting the credibility and trustworthiness of the generated content [6]. | [6] | IndirectSummarizes findings without quoting; descriptive paraphrase. | SupportSupports the claim that chatbots can generate inaccurate or fabricated references. |
Correct
Numeric bracketed style [6] conforms to Vancouver.
Citation placed before the period; acceptable within Vancouver variations.
Source is a peer‑reviewed journal (JMIR).
Consistent
This Indirect/Support citation places [6] immediately before the period and includes no author/year/page, consistent with the dominant pattern
|
CorrectCitation '[6]' matches the numbered bibliography entry at position 6. Numbered citation style (e.g., Vancouver) uses the reference number as the primary identifier, and the 6th entry corresponds exactly to the cited number. No ambiguity: the 6th bibliography entry is present and clearly identified as the source for citation [6]. | plausibleThe claim is directly supported by the source's title, abstract, and reported findings. The study explicitly investigates the fabrication of references ('hallucinations') by ChatGPT and Bard in the context of biomedical literature and systematic reviews. The reported hallucination rates and discussion of reference accuracy align with the claim that these chatbots may generate fabricated references resembling real literature. The assertion that such hallucinations can corrupt credibility and trustworthiness is a reasonable interpretive extension of the study's findings, as the article discusses the implications for scientific reliability. The source is recent (2024), peer-reviewed, and published in a reputable journal, further supporting the claim's plausibility. Limitations include lack of access to full text, but the available metadata and abstracts provide sufficient evidence for a strong assessment. |
2 | For example, Hua et al asked ChatGPT to produce scientific abstracts and 10 references across seven ophthalmology research questions; about one-third of the generated references could not be matched to existing publications [7]. | [7] | IndirectParaphrases results from the cited study; not a direct quote. | SupportProvides concrete evidence quantifying reference fabrication. |
Correct
Single numeric bracket [7] matches Vancouver style.
Correct placement before the period; acceptable by journal convention.
Source is a peer‑reviewed journal (JAMA Ophthalmology).
Consistent
This Indirect/Support citation uses a square-bracketed numeral [7] before terminal punctuation with no author/year/page, matching the dominant style
|
CorrectCitation '[7]' corresponds to the 7th entry in the numbered bibliography: '[7] Hua HU, Kaakour AH, Rachitskaya A, Srivastava S, Sharma S, Mammo DA. Evaluation and comparison of ophthalmic scientific abstracts and references by current artificial intelligence chatbots. JAMA Ophthalmol 2023;141(9):819-24.' Reference number matches the bibliography position exactly. Numbered citation style convention (e.g., Vancouver/IEEE) is correctly followed by matching the citation number to the list order. | plausibleThe claim is highly consistent with the available metadata and secondary summaries of the Hua et al study. Multiple sources, including a Cleveland Clinic article and the JAMA Ophthalmology article's abstract, confirm that the study involved generating abstracts and references using ChatGPT for seven ophthalmology research questions. The finding that about one-third of the references were unverifiable is directly supported by these summaries, which state that approximately 30% of the references did not exist. The specificity of the claim (number of questions, number of references, proportion unverifiable) matches the reported methodology and results. The source is a high-quality, peer-reviewed journal article, further supporting the reliability of the claim. There are no indications of misrepresentation or overstatement in the citation sentence. |
2 | This accountability is at odds with the inherent limitations of genAI, which cannot bear such responsibility [8]. | [8] | IndirectSummarizes stance on accountability based on cited editorial; no quotes. | SupportBacks the authors’ claim that AI cannot assume authorship responsibility. |
Correct
Bracketed numeric citation [8] is consistent with Vancouver.
Positioned before the period; acceptable variant.
Source is a peer‑reviewed journal editorial (JAMA Ophthalmology).
Consistent
This Indirect/Support citation places [8] immediately before the period with no author/year/page, following the dominant pattern
|
CorrectCitation '[8]' corresponds to the 8th entry in the numbered bibliography. The bibliographic entry at position 8 exactly matches the citation number, consistent with numbered citation styles (e.g., Vancouver/IEEE). No ambiguity or mismatch detected. | plausibleThe claim that genAI cannot bear responsibility is a common and well-established position in discussions about AI in academic publishing and medicine. Given the editorial's title and the author's role, it is highly likely that the article addresses the limitations of AI chatbots, including their inability to be held accountable for the integrity or accuracy of scientific content. Editorials in JAMA Ophthalmology and similar journals frequently emphasize that responsibility for published content must remain with human authors and editors, as AI tools lack agency, intent, and legal standing. The absence of the full text is a limitation, but the claim is general and fits the expected scope and focus of the editorial. There is no evidence from the metadata or context to suggest the claim is misrepresented or out of scope. |
2 | In response, journals such as JAMA or Nature [9,10], and organizations such as the World Association of Medical Editors and the Committee on Publication Ethics have implemented policies that require transparency regarding the use of genAI. | [9] | IndirectReferences policy examples without quoting. | SupportSupports the assertion that journals have implemented transparency policies. |
Correct
Grouped numeric citation [9,10] is acceptable in Vancouver; extracting [9] individually remains compliant with numeric style.
Bracket usage and placement within the sentence are acceptable.
Consistent
This Indirect/Support citation uses a combined bracket [9,10] (comma without spaces) and is placed directly before punctuation within the sentence, consistent with the dominant square-bracket style
|
CorrectCitation '[9]' corresponds to the ninth entry in the numbered bibliography. Matched source: '[9] Tools such as ChatGPT threaten transparent science; here are our ground rules for their use. Nature 2023;613(7945):612.' Numbered citation style match: the in-text number matches the bibliography position exactly; no additional author/year matching required. No ambiguity detected; single clear match. | plausibleThe claim that Nature has implemented policies requiring transparency about genAI use is directly supported by the cited editorial, which outlines new rules for authors regarding the use of LLMs and mandates disclosure in manuscripts. The editorial is an official policy statement from Nature, making it a highly authoritative source for this claim. While the citation sentence also mentions JAMA and two organizations, the citation [9] is only attached to Nature, which is appropriate given the editorial's focus. There is no evidence in the available information that contradicts the claim about Nature's policy. The lack of a specific page number is not an issue, as the editorial is short and policy-focused. Limitations: The citation does not provide evidence for JAMA or the organizations mentioned, but it is only attached to Nature in the sentence structure, which is accurate for this reference. |
2 | In response, journals such as JAMA or Nature [9,10], and organizations such as the World Association of Medical Editors and the Committee on Publication Ethics have implemented policies that require transparency regarding the use of genAI. | [10] | IndirectRefers to journal policy guidance; not quoted. | SupportFurther supports the point that leading journals have policies on AI transparency. |
Correct
Grouped numeric citation [9,10] conforms to Vancouver; isolating [10] is consistent with numeric citation handling.
Bracketed style and punctuation are appropriate.
Consistent
This Indirect/Support citation is part of the combined in-text reference [9,10] with comma-no-space formatting before punctuation, aligning with the dominant pattern
|
CorrectCitation '[10]' corresponds to the 10th entry in the numbered bibliography. Matched entry: '[10] Flanagin A, Bibbins-Domingo K, Berkwits M, Christiansen SL. Nonhuman "authors" and implications for the integrity of scientific publication and medical knowledge. JAMA 2023;329(8):637-9.' Numbered citation style correctly implemented with exact position match and no ambiguity. | plausibleThe claim that JAMA has implemented a policy requiring transparency about genAI use is strongly supported by the editorial's topic and by multiple independent summaries of JAMA's updated author guidelines [1][3][4]. The editorial is specifically cited as the source for JAMA's policy, and the available evidence confirms that JAMA requires authors to disclose the use of AI tools in manuscript preparation, aligning with the claim. Although the citation sentence also mentions Nature and two organizations, the reference [10] is only expected to support the statement about JAMA, which it does. The broader claim about other journals and organizations is likely supported by other references (e.g., [9]), not [10]. The source is recent (2023), peer-reviewed, and authored by JAMA editorial leadership, further supporting its reliability. Limitations: The full text of the editorial was not directly reviewed, but the policy details are corroborated by multiple authoritative secondary sources. The claim does not overstate the source's content and is consistent with the editorial's focus. |
2 | Science journals policy is stricter: text generated with genAI is prohibited in submitted manuscripts since it would not be considered original [11]. | [11] | IndirectParaphrases policy position; no direct quote. | SupportProvides authoritative backing for the claim about Science’s strict policy. |
Correct
Single bracketed numeric citation [11] follows Vancouver style.
Placement before period is acceptable as per journal norms.
Source is a peer‑reviewed journal editorial (Science).
Consistent
This Indirect/Support citation uses a square-bracketed numeral placed immediately before terminal punctuation, matching the dominant pattern.
|
CorrectCitation '[11]' corresponds to the 11th entry in the numbered bibliography: '[11] Thorp HH. ChatGPT is fun, but not an author. Science 2023; 379(6630):313.' The reference number matches the bibliography position exactly, which is the primary matching criterion for numbered styles. No ambiguity detected; the citation correctly references the intended source. | likelyThe claim that Science journals prohibit text generated with genAI is strongly supported by both the editorial's title and multiple secondary sources quoting the Science journals' policy. The explicit prohibition is confirmed in [2], which attributes the policy to an editorial in Science, likely the cited source. The rationale that such text 'would not be considered original' is a reasonable interpretation, as originality is a core criterion for scientific publication and is discussed in Science's editorial policies ([4]). However, the claim slightly overstates the rationale by presenting it as the sole reason for prohibition, whereas the actual policy also emphasizes accountability, transparency, and scientific integrity. The editorial likely discusses these aspects, but without the full text, it is not possible to confirm that 'not considered original' is the only or primary rationale given. Given the strong alignment between the claim and the source's topic, and the corroboration from secondary sources, the citation is 'likely' accurate, though not 'plausible' in the sense of being a direct, verbatim match. |
2 | There are initiatives to develop harmonized guidance for reporting genAI use in scientific research and writing [12]. | [12] | IndirectSummarizes initiatives rather than quoting. | SupportSupports the statement that guidance efforts are underway. |
Correct
Bracketed numeric citation [12] is consistent with Vancouver style.
Placed before the period; acceptable variant.
Source is a high‑profile journal (Nature).
Consistent
This Indirect/Support citation follows the dominant numeric bracket style and placement before punctuation with no authors/years.
|
CorrectCitation '[12]' corresponds to the 12th entry in the provided numbered bibliography: '[12] Cacciamani GE, Collins GS, Gill IS. ChatGPT: standard reporting guidelines for responsible use. Nature 2023;618(7964):238.' Reference number matches the bibliography position exactly. Numbered citation style criteria satisfied with no ambiguity. | plausibleThe claim is well-aligned with the source's title and context. The Nature letter explicitly addresses the need for standard reporting guidelines for responsible use of ChatGPT and similar genAI tools. The arXiv preprint, which references the same authors and initiative, provides further detail about the CANGARU project, which is an initiative to develop harmonized, cross-disciplinary guidelines for reporting genAI use in scientific research and writing. This directly supports the claim that such initiatives exist and are being developed. The lack of a full abstract or article text from the Nature letter is a limitation, but the convergence of evidence from the title, author expertise, and corroborating sources makes it highly plausible that the claim is accurately represented. The publication venue (Nature) and the authors' academic credentials further support the reliability of the source. |
2 | We also encourage journals to implement tools to detect text produced by genAI, such as 'GPT-2 Output Detector' [7,13]. | [7] | IndirectRefers to studies/detectors without quoting text. | SupportSupports recommendation to use AI‑text detectors by citing relevant evaluations. |
Correct
Grouped bracketed citation [7,13] is acceptable in Vancouver; extracting [7] individually maintains numeric style consistency.
Correct bracket use and sentence placement.
Consistent
This citation appears as part of a combined bracket '[7,13]' placed after the closing quote and before the period, matching the dominant pattern.
|
CorrectCitation '[7]' corresponds to the seventh entry in the numbered bibliography. Numbered style matching is based primarily on the reference number; position 7 matches the provided source exactly. No ambiguity or inconsistencies detected. | likelyThe article's title and context indicate a focus on AI-generated scientific writing and its evaluation. It is reasonable to infer that the article discusses the implications of AI-generated text in scientific publishing, which often includes the need for detection tools. The specific mention of the 'GPT-2 Output Detector' in the citation sentence is plausible, as this tool is widely recognized and relevant to the topic. However, without the full text, it cannot be confirmed that the article explicitly recommends this tool or discusses it by name. The claim is therefore 'likely' rather than 'plausible,' as the general encouragement to use AI detection tools fits the article's scope, but the specific mention of 'GPT-2 Output Detector' may be an extrapolation or example provided by the citing authors rather than a direct reference from the source. |
2 | We also encourage journals to implement tools to detect text produced by genAI, such as 'GPT-2 Output Detector' [7,13]. | [13] | IndirectSummarizes findings on detectors without quoting. | SupportStrengthens the recommendation by referencing detector evaluation research. |
Correct
Grouped bracketed citation [7,13] conforms to Vancouver; isolating [13] remains consistent with numeric style.
Bracket formatting and placement are appropriate.
Consistent
This citation appears as part of a combined bracket '[7,13]' placed after the closing quote and before the period, matching the dominant pattern.
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CorrectCitation '[13]' corresponds directly to the 13th entry in the numbered bibliography. The reference number matches the bibliography position exactly, which is the primary criterion for numbered citation styles (e.g., IEEE/Vancouver/Nature). No ambiguity is present—reference numbers uniquely identify sources; no additional author/year matching is required. | plausibleThe claim is well-aligned with the content of the cited article. Gao et al. (2023) not only use the GPT-2 Output Detector in their methodology but also discuss its performance and potential application in editorial workflows for scientific journals. The article's results demonstrate the tool's effectiveness in distinguishing AI-generated from human-written abstracts, and the discussion section explicitly raises the possibility of using such detectors as editorial tools. This directly supports the recommendation in the citation sentence. The source is a peer-reviewed article published in a reputable journal (NPJ Digital Medicine), further supporting the credibility of the evidence. There are no indications that the claim overstates or misrepresents the findings of the source. Limitations: The source does not provide a comprehensive review of all possible genAI detection tools, but it does specifically address the GPT-2 Output Detector and its relevance to journal editorial practices. |
2 | The proliferation of mega journals such as PlosOne and Scientific Reports combined with the human-like writing capabilities of genAI could lead to exponential numbers of publications of low value [14], although groups such as the Declaration on Research Assessment and the Coalition for Advancing Research Assessment reflect a movement away from counting the number of publications as a metric for researchers. | [14] | IndirectParaphrases concerns from the literature; no direct quotation. | SupportOffers evidence for the risk of increased low‑value publications with genAI and mega‑journals. |
Correct
Single bracketed numeric citation [14] complies with Vancouver style.
Appears mid‑sentence before a comma; acceptable in Vancouver variants.
Source is a peer‑reviewed journal (JAMA).
Consistent
Square-bracketed numeral placed immediately before punctuation (a comma) with no authors/years, consistent with the dominant numeric bracket style.
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CorrectCitation '[14]' corresponds to the 14th entry in the numbered bibliography. Numbered style matching: the citation number matches the position of the bibliography entry exactly. No ambiguity: single clear match found. | plausibleThe claim about mega-journals leading to an exponential increase in low-value publications is directly aligned with the topic and likely content of the cited JAMA article. Ioannidis has previously written extensively about the risks of quantity-over-quality in scientific publishing, and the article's title explicitly references 'threats' associated with rapid growth of mega-journals. The mention of generative AI (genAI) is a forward-looking extension, but it is plausible that a 2023 article on this topic would at least mention or speculate about the impact of AI on publication volume and quality, given the rapid rise of genAI tools in academic writing during this period. The second part of the claim, about a movement away from publication counts as a metric, is a well-established trend in research assessment, and it is reasonable to expect that a meta-research commentary in JAMA would reference DORA and similar initiatives as part of the broader context. While the exact phrasing and all details cannot be confirmed without the full text, the claim is highly consistent with the source's scope, the authors' expertise, and the current discourse in scholarly publishing. There are no indications of misrepresentation or overreach based on the available metadata. Limitations: The assessment is based on metadata, topic relevance, and general knowledge, not direct access to the article's full text. |
3 | First, genAI may harm science and patients by generating text that reinforces biases related to race, culture, or gender, because they reflect the data they were trained on [3,4]. | [3] | IndirectThe sentence paraphrases general findings about bias; no direct quotes. | SupportProvides evidence that genAI can reinforce demographic biases. |
Correct
Uses Vancouver numeric style with square brackets.
Placement immediately after the supporting clause is acceptable in Vancouver.
Multiple sources are grouped as [3,4], which is an accepted Vancouver variation for citing multiple references.
Consistent
Multiple sources combined in one bracket as '[3,4]' with no spaces and placed before terminal punctuation, matching the dominant pattern.
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CorrectCitation '[3]' uses a numbered style (e.g., Vancouver/IEEE). The primary matching criterion is the reference number. The number 3 corresponds directly to bibliography entry [3]: 'Zack T, ... Lancet Digit Health 2024;6(1):e12-22.' Reference number matches the third position exactly with no ambiguity or inconsistencies. | plausibleThe claim aligns closely with the source's title, scope, and available summaries. The study is explicitly designed to assess whether GPT-4 perpetuates racial and gender biases, and the available evidence from abstracts and related summaries supports the assertion that such biases are reflected in the model's outputs due to its training data. The claim that this may harm science and patients is a reasonable extrapolation from the study's findings, which discuss impacts on clinical decision-making and patient care. The source is peer-reviewed and published in a high-impact journal, further supporting its reliability. While the claim is somewhat broad, it is consistent with the study's aims and reported results. Limitations include lack of access to full text, but the metadata and related summaries provide strong support for the claim. |
3 | First, genAI may harm science and patients by generating text that reinforces biases related to race, culture, or gender, because they reflect the data they were trained on [3,4]. | [4] | IndirectParaphrased claim about bias; no quotation marks. | SupportStrengthens the argument by citing another relevant source on bias. |
Correct
Vancouver numeric style with square brackets is properly used.
Citing multiple works as [3,4] is acceptable in Vancouver; each number is a separate reference.
Consistent
Multiple sources combined in one bracket as '[3,4]' with no spaces and placed before terminal punctuation, matching the dominant pattern.
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CorrectCitation '[4]' uses a numbered style and matches the 4th entry in the provided bibliography. The 4th bibliography entry is: 'Bender EM, Gebru T, McMillan-Major A, Shmitchell S. On the dangers of stochastic parrots: can language models be too big?. In: Proceedings of the 2021 ACM conference on fairness, accountability, and transparency 2021;610-23.' Numbered citation and bibliography position align correctly with no ambiguity. | plausibleThe claim is directly supported by the source's focus and content. The Bender et al. paper is widely cited for its analysis of the risks of large language models, particularly regarding the perpetuation of social biases due to uncurated or poorly documented training data. The paper discusses how these biases can manifest in generated text and the potential harms that can result, including discrimination and reinforcement of harmful stereotypes. The claim in the citation sentence is a concise summary of one of the paper's central arguments. The source is peer-reviewed, published in a leading conference on fairness and accountability, and authored by recognized experts in AI ethics, further supporting the credibility and relevance of the citation. There are no indications that the claim overstates or misrepresents the source's content. Limitations include lack of direct access to the full text, but the available summaries and reputable secondary sources provide strong evidence for alignment. |
3 | Indirect evidence is that, for instance, $89.7 %$ of the textual data used to train Meta's Llama 2 model is in English [5]. | [5] | IndirectParaphrased statistic; not a direct quote. | SupportProvides evidence for the assertion about English predominance in training data. |
Correct
Vancouver numeric citation in square brackets.
Placed before the period, which is acceptable per journal variations in Vancouver.
Consistent
Square-bracketed numeral placed immediately before terminal punctuation, with no author/year/page, consistent with the dominant pattern.
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CorrectNumbered citation style detected (e.g., IEEE/Vancouver). The citation '[5]' corresponds to the fifth entry in the bibliography. The fifth entry is: '[5] Touvron H, Martin L, Stone K, Albert P, Almahairi A, Babaei Y, et al. Llama 2: open foundation and fine-tuned chat models. arXiv 2023. https://doi.org/10.48550/arXiv.2307.09288.' Reference number matches bibliography position exactly with no ambiguity. | plausibleThe claim is highly plausible given the context and corroborating evidence: - The Llama 2 technical report is the definitive source for details about the model's training data, and it is standard for such papers to include a breakdown of language distribution in the dataset. - Multiple reputable secondary sources (such as Slator [1]) directly cite the Llama 2 paper and state that 'the model’s pretraining data is nearly 90% English,' which matches the 89.7% figure in the claim. - The Wikipedia article [5] and other technical summaries consistently describe Llama 2 as being trained predominantly on English data, with other languages making up a small fraction. - The specificity of the 89.7% figure suggests it is drawn from a table or chart in the original paper, which is a common practice in LLM technical reports. - There is no evidence contradicting the claim, and the cited source is the most appropriate and authoritative reference for this information. Limitations: The exact percentage (89.7%) cannot be directly verified without the full text of the technical report, but the overwhelming consistency of secondary sources and the nature of the claim make it highly plausible. |
3 | GenAI-enabled chatbots may fabricate references resembling real biomedical literature (ie, 'hallucinations'), corrupting the credibility and trustworthiness of the generated content [6]. | [6] | IndirectSummarizes findings about hallucinations without quoting. | SupportBacks the claim that chatbots can fabricate references, affecting credibility. |
Correct
Uses bracketed numeric reference consistent with Vancouver.
Punctuation and spacing are appropriate.
Consistent
Square-bracketed numeral placed immediately before terminal punctuation, aligning with the dominant Indirect/Support numeric style.
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CorrectNumbered citation style detected (e.g., Vancouver/IEEE), where the primary matching criterion is the reference number. The citation contains a single reference: [6]. Bibliography entry [6] is: "Chelli M, Descamps J, Lavoue V, Trojani C, Azar M, Deckert M, et al. Hallucination rates and reference accuracy of ChatGPT and Bard for systematic reviews: comparative analysis. J Med Internet Res 2024;26:e53164." The citation number aligns exactly with the sixth entry in the bibliography. No ambiguity or inconsistency detected. | plausibleThe claim that GenAI-enabled chatbots may fabricate references resembling real biomedical literature is directly supported by the empirical findings of Chelli et al. (2024), which document high hallucination rates for both ChatGPT and Bard in generating references for systematic reviews. The fabricated references often appear authentic but do not correspond to actual publications, matching the description of 'hallucinations.' The article further discusses the implications of these hallucinations, noting that they can undermine the credibility and trustworthiness of AI-generated content in biomedical research. This aligns with the interpretive aspect of the citation sentence. The source is peer-reviewed, recent (2024), and published in a leading journal, adding to its reliability. No evidence contradicts the claim, and the source's focus is precisely on the phenomenon described. The lack of a specific page number is not an issue, as the findings are central to the article's main results and discussion. Limitations include not having the full text for direct quotation, but the abstract, results, and discussion summaries from multiple reputable databases (PubMed, PMC, journal website) provide sufficient detail to confirm the claim's plausibility. |
3 | For example, Hua et al asked ChatGPT to produce scientific abstracts and 10 references across seven ophthalmology research questions; about one-third of the generated references could not be matched to existing publications [7]. | [7] | IndirectParaphrases the study’s findings; no direct quoting. | SupportProvides concrete evidence illustrating the problem of fabricated references. |
Correct
Bracketed numeric citation aligns with Vancouver.
Appears at the end of a sentence presenting evidence, which is standard.
Consistent
Square-bracketed numeral placed immediately before terminal punctuation, with no added author/year details, matching the dominant pattern.
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CorrectThe citation uses a numbered style (bracketed number), so the primary matching criterion is the reference number. The citation '[7]' corresponds directly to the seventh entry in the provided bibliography. Entry [7] matches exactly: '[7] Hua HU, Kaakour AH, Rachitskaya A, Srivastava S, Sharma S, Mammo DA. Evaluation and comparison of ophthalmic scientific abstracts and references by current artificial intelligence chatbots. JAMA Ophthalmol 2023;141(9):819-24.' Single reference present and correctly matched by position; no ambiguity. | plausibleThe claim is highly plausible based on the available evidence. The article by Hua et al is directly focused on evaluating the quality and legitimacy of AI-generated ophthalmic abstracts and references. Multiple secondary sources, including a Cleveland Clinic summary ([3]) and the JAMA Ophthalmology article metadata ([4]), confirm that the study asked ChatGPT to generate abstracts and 10 references for seven research questions. These sources also state that about 30% of the references were not verifiable, matching the 'about one-third' figure in the citation sentence. The methodology described in the citation sentence aligns with the study's stated aims and design. The claim does not overstate or misrepresent the findings, and the proportion of unverifiable references is consistent with the reported results. The use of a high-quality, peer-reviewed source further supports the plausibility of the citation. |
3 | This accountability is at odds with the inherent limitations of genAI, which cannot bear such responsibility [8]. | [8] | IndirectParaphrased argument; no quotation marks. | SupportCites editorial commentary to justify limits on genAI authorship. |
Correct
Uses a single bracketed number per Vancouver style.
Positioning before the period is acceptable in many Vancouver implementations.
Consistent
This Indirect citation with Support purpose uses a square-bracketed numeral placed immediately before the terminal period ([8].), matching the dominant pattern.
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CorrectCitation '[8]' corresponds to the 8th entry in the numbered bibliography: '[8] Bressler NM. What artificial intelligence chatbots mean for editors, authors, and readers of peer-reviewed ophthalmic literature. JAMA Ophthalmol 2023;141(6):514-5.' Numbered citation style: primary matching is by reference number, and [8] is within the available range [1–15]. No ambiguity detected; the citation number directly maps to the correct bibliography position. | likelyThe claim that genAI cannot bear responsibility is a common theme in discussions about AI ethics and publishing, especially in editorials addressing the role of AI in peer review and scientific authorship. The cited editorial is highly likely to discuss such limitations, given its focus on what AI chatbots mean for editors, authors, and readers. The lack of full text prevents confirmation of exact phrasing, but the topic, author expertise, and journal credibility support the likelihood that the editorial covers the inherent limitations of genAI, including accountability. The claim does not overreach the probable scope of the source, and there is no evidence of misrepresentation or contradiction based on available metadata. Limitations include the absence of direct quotes or page-specific evidence, but the context and publication venue make the claim reasonable. |
3 | In response, journals such as JAMA or Nature [9,10], and organizations such as the World Association of Medical Editors and the Committee on Publication Ethics have implemented policies that require transparency regarding the use of genAI. | [9] | IndirectDescribes policy actions; not a direct quote. | SupportProvides authoritative examples (journals) to substantiate the policy claim. |
Correct
Multiple references grouped in one bracket [9,10] is acceptable in Vancouver.
Each number corresponds to a separate source.
Consistent
This Indirect/Support citation appears as part of a combined bracket [9,10] with a comma and no spaces, placed appropriately mid-sentence before a comma, consistent with the dominant format.
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CorrectCitation '[9]' follows a numbered citation style (e.g., Vancouver/IEEE), where the number maps directly to the position in the bibliography. The number 9 corresponds exactly to bibliography entry [9]: '[9] Tools such as ChatGPT threaten transparent science; here are our ground rules for their use. Nature 2023;613(7945):612.' Number-position matching is exact and unambiguous. No additional author/year matching is required for numbered styles. | plausibleThe claim that Nature has implemented policies requiring transparency regarding genAI use is directly supported by the source's title and corroborated by multiple search results, which detail Nature's stance on LLM authorship and documentation requirements. The editorial's publication in Nature, a leading scientific journal, adds credibility. While the citation sentence also mentions JAMA and other organizations, the reference [9] specifically supports the claim about Nature. There is no evidence contradicting the claim, and the context aligns with current trends in scientific publishing. The lack of a specific page number is not problematic for an editorial. Limitations include the absence of full text, but the available metadata and corroborating sources make the claim highly plausible. |
3 | In response, journals such as JAMA or Nature [9,10], and organizations such as the World Association of Medical Editors and the Committee on Publication Ethics have implemented policies that require transparency regarding the use of genAI. | [10] | IndirectSummarizes policy actions without quoting. | SupportAdds another authoritative example to support the policy claim. |
Correct
Uses bracketed numeric references consistent with Vancouver; comma-separated multiple citations are acceptable.
Consistent
This Indirect/Support citation is included within the combined bracket [9,10], using comma-without-space formatting and correct placement, aligning with the dominant pattern.
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CorrectCitation '[10]' corresponds to the 10th entry in the numbered bibliography: '[10] Flanagin A, Bibbins-Domingo K, Berkwits M, Christiansen SL. Nonhuman "authors" and implications for the integrity of scientific publication and medical knowledge. JAMA 2023;329(8):637-9.' Numbered citation style matching by position is correct. No ambiguity or inconsistencies detected. | plausibleThe claim that JAMA has implemented policies requiring transparency regarding the use of genAI is strongly supported by the source's title, author expertise, and the journal's reputation. Multiple search results confirm that JAMA has updated its author instructions to require disclosure of AI use and prohibit AI authorship, aligning with the claim. The article is recent (2023), ensuring temporal relevance to the claim about current policy. While the citation sentence also mentions Nature and organizations, citation [10] is only expected to support the claim about JAMA, which it plausibly does. The lack of full text is mitigated by the strong alignment between the article's topic, related policy articles, and the claim. No evidence contradicts the claim, and the source is appropriate for supporting it. Limitations include the absence of direct access to the full article, but the metadata and corroborating policy statements from JAMA are sufficient for a plausible assessment. |
3 | Science journals policy is stricter: text generated with genAI is prohibited in submitted manuscripts since it would not be considered original [11]. | [11] | IndirectParaphrases a policy statement; no direct quote. | SupportSupports the claim about stricter journal policy with a specific source. |
Correct
Single numeric bracket aligns with Vancouver conventions.
Placed before the period; acceptable variation.
Consistent
This Indirect/Support citation uses a single square-bracketed numeral placed before the terminal period ([11].), matching the dominant pattern.
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CorrectCitation '[11]' corresponds to the 11th entry in the numbered bibliography: '[11] Thorp HH. ChatGPT is fun, but not an author. Science 2023; 379(6630):313.' The reference number matches the bibliography position exactly. Numbered citation style conventions are followed; no ambiguity or inconsistencies detected. | plausibleThe claim is highly plausible based on the available evidence. The editorial's title and author (Holden Thorp, Science's Editor-in-Chief) indicate a direct and authoritative statement on the journal's policy regarding AI-generated text. Multiple independent sources, including Science's own editorial policies and blog posts, confirm that Science journals prohibit the use of AI-generated text in submitted manuscripts, and that such text is not considered original. The rationale provided in the citation sentence matches the reasoning given in these policy documents. While the full text of the editorial is not available, the convergence of evidence from official Science policy pages and the editorial's context make it very likely that the citation sentence accurately reflects the source's content and intent. There are no indications of misrepresentation or overstatement. |
3 | There are initiatives to develop harmonized guidance for reporting genAI use in scientific research and writing [12]. | [12] | IndirectSummarizes initiatives without quoting. | SupportCites a source proposing reporting standards to support the claim. |
Correct
Numeric bracketed citation per Vancouver style.
Clear placement at sentence end.
Consistent
This Indirect/Support citation uses the standard square-bracketed numeral immediately before the terminal period ([12].), following the dominant format.
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CorrectCitation '[12]' corresponds to the twelfth entry in the numbered bibliography: '[12] Cacciamani GE, Collins GS, Gill IS. ChatGPT: standard reporting guidelines for responsible use. Nature 2023;618(7964):238.' Reference number matches the bibliography position exactly. Numbered citation style correctly implemented. | plausibleThe claim is directly supported by the title and available summaries of the cited Nature letter, which centers on the development of standard reporting guidelines for responsible use of ChatGPT and generative AI in scientific research. The arXiv summary and bibliographic metadata further confirm that the authors are involved in initiatives (such as CANGARU) to create harmonized guidance for reporting genAI use. The claim does not overstate the source's content and is consistent with the scope and intent of the publication. The Nature letter's peer-reviewed status and the authors' expertise in the field add to the reliability of the citation. While the full text is not available, the convergence of multiple metadata sources and related abstracts strongly supports the plausibility of the claim. |
3 | We also encourage journals to implement tools to detect text produced by genAI, such as 'GPT-2 Output Detector' [7,13]. | [7] | IndirectGeneral recommendation supported by prior research; not a direct quote. | SupportUses existing studies to justify recommending detection tools. |
Correct
Multiple citations in one bracket are acceptable in Vancouver.
Each number represents a distinct reference as required by the style.
Consistent
This Indirect/Support citation appears in a combined bracket [7,13] after the closing quotation mark and before the terminal period, with comma-without-space formatting, consistent with the dominant pattern.
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CorrectCitation '[7]' uses a numbered style and maps directly to the 7th entry in the provided bibliography. The reference number is within the available range [1-15] and corresponds exactly to the listed source. Numbered citation style criteria are satisfied: position-based matching confirms a single, unambiguous match. | likelyThe claim is about encouraging journals to use AI-detection tools, specifically the GPT-2 Output Detector, to identify genAI-produced text. The cited article evaluates AI-generated scientific abstracts and references, which is directly relevant to the issue of AI-generated text in academic publishing. It is plausible that the article discusses the need for detection tools or references specific tools like the GPT-2 Output Detector, given the context and the increasing concern in academia about AI-generated submissions. However, without access to the full text, it cannot be confirmed with certainty that the article explicitly mentions the GPT-2 Output Detector or recommends its implementation. The claim fits well within the article's likely scope, but the specificity of naming the 'GPT-2 Output Detector' is not directly verifiable from metadata alone. Therefore, 'Likely' is the most appropriate assessment, as the claim is reasonable and contextually supported, but not definitively confirmed. |
3 | We also encourage journals to implement tools to detect text produced by genAI, such as 'GPT-2 Output Detector' [7,13]. | [13] | IndirectSummarizes supportive evidence; no quotation. | SupportStrengthens the recommendation to use detection tools with another source. |
Correct
Bracketed numeric style with multiple citations is consistent with Vancouver.
No punctuation or spacing issues.
Consistent
This Indirect/Support citation is part of the combined bracket [7,13] placed after the closing quotation mark and before the period, matching the dominant format.
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CorrectCitation '[13]' corresponds to the 13th entry in the numbered bibliography. The entry at position 13 is: '[13] Gao CA, Howard FM, Markov NS, Dyer EC, Ramesh S, Luo Y, et al. Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers. NPJ Digit Med 2023;6(1):75.' Numbered citation style matching by position is satisfied with no ambiguity. | plausibleThe claim is plausible because the cited article explicitly evaluates the 'GPT-2 Output Detector' for identifying AI-generated scientific abstracts and discusses its potential use in editorial workflows. The article's results demonstrate the detector's effectiveness, and the discussion section mentions its possible application by journals to maintain scientific standards. The recommendation in the citation sentence aligns with the source's findings and suggestions. The source is recent, peer-reviewed, and directly relevant to the topic of genAI text detection in scientific publishing. There are no indications that the claim overstates or misrepresents the source's content. Limitations include lack of access to the full text for direct quotes, but the abstract and available excerpts provide sufficient evidence for verification. |
3 | The proliferation of mega journals such as PlosOne and Scientific Reports combined with the human-like writing capabilities of genAI could lead to exponential numbers of publications of low value [14], although groups such as the Declaration on Research Assessment and the Coalition for Advancing Research Assessment reflect a movement away from counting the number of publications as a metric for researchers. | [14] | IndirectParaphrases a concern supported by literature; no direct quotes. | SupportProvides evidence linking mega journals to potential proliferation of low-value outputs. |
Correct
Uses a single bracketed numeric citation consistent with Vancouver.
Located mid-sentence before a comma, which is acceptable in Vancouver when grammatically required.
Consistent
This Indirect/Support citation uses a single bracketed numeral ([14]) positioned before a following comma mid-sentence, consistent with the document’s bracket placement and formatting rules.
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CorrectCitation '[14]' corresponds directly to the 14th entry in the numbered bibliography. The 14th bibliography entry is: '[14] Ioannidis JPA, Pezzullo AM, Boccia S. The rapid growth of mega-journals: threats and opportunities. JAMA 2023;329(15): $1253-4$.' Numbered citation style criteria are satisfied: the citation number matches the position in the bibliography with no ambiguity. | likely- The source is highly relevant: it is a recent, peer-reviewed JAMA article by leading meta-researchers, specifically addressing the rapid growth of mega-journals and their implications for research quality and publishing models. - The first part of the claim (mega-journal proliferation leading to more low-value publications) is well-aligned with the article's stated focus on threats posed by mega-journals, including concerns about quality control and editorial standards. While the summary does not mention generative AI, the article's scope plausibly covers the risk of increased low-value output, especially as it discusses the consequences of lower selectivity and higher volume. - The explicit mention of generative AI is not confirmed in the available summary, but the claim is framed as a potential future scenario, not as a direct statement of current fact. This makes it reasonable for the citation to reference a source discussing the underlying trends (mega-journal growth and quality concerns), even if genAI is not specifically addressed. - The second part of the claim (shift away from publication counts as a metric) is not directly supported by the available summary, but is a widely recognized trend in research assessment and may be discussed in the article's broader context. Even if not, its inclusion does not misrepresent the main thrust of the cited source. - Overall, the citation is likely, though not definitively, supported by the source, especially for the first part of the claim. The lack of explicit mention of genAI is a minor limitation, but the citation does not appear misleading or incorrect given the article's scope. |
SourceiThe complete bibliographic entry as it appears in the document's reference list or bibliography section. | Citation CountiTotal number of times this source is referenced in the document text, including direct citations, "ibid." references, and "et al." variations. | ExistenceiVerification of whether the source actually exists: • Yes: Source found in academic databases • No: Source not found anywhere • Unsure: Uncertain due to access limitations Searched in: Google Scholar, PubMed, Web of Science, publisher platforms, institutional repositories. | AccessibilityiHow the source can be accessed: • Open: Freely available online • Restricted: Requires subscription/payment • Print-only: Only available in physical format • Not available: Cannot be accessed Checks for open access versions, institutional access, and paywalls. | TypeiClassification of the source type: • Journal Article: Peer-reviewed academic paper • Book: Academic monograph or textbook • Book Chapter: Chapter in edited volume • Conference Paper: Conference proceedings • Presentation: Slides or talk materials presented at conferences or events • PhD Thesis: Habilitation, PhD dissertation, doctoral thesis • Student Thesis: Master's thesis, Bachelor's thesis, homework, seminar papers • Report: Technical or research report • News Article: Newspaper/magazine article, online news • Blog Post: Personal or professional blog entries • Institutional Website: Official organizational websites • Government Document: Official government publications • Encyclopedia Entry: Wikipedia, Britannica, specialized encyclopedias • Social Media: Twitter posts, Facebook content, LinkedIn articles • Forum Post: Reddit posts, Stack Overflow, academic forums • Other: Other content not fitting above categories | ScientificiAssessment of whether the source is scientific/academic: • Yes: Peer-reviewed academic publication • No: Non-academic source (news, blog, etc.) • Unsure: Unclear academic status Evaluation criteria include: • Peer review evidence (explicit statements, editorial boards) • Methodological rigor (clear methodology, data availability) • Academic structure (abstract, literature review, results) • Author credentials (academic affiliations, ORCID iDs) • Publisher reputation and academic standards | Style AccuracyiWhether the bibliographic entry follows the specified citation style: • Correct: Proper formatting according to style guide • Incorrect: Formatting errors or style violations • Unsure: Ambiguous or unclear formatting Checks author format, date placement, title formatting, publisher information. | Verification StatusiOverall verification assessment combining all factors: • Correct: Source exists, accessible, properly formatted • Partially Correct: Some issues but generally acceptable • Incorrect: Major problems with existence, access, or formatting • Unsure: Insufficient information for definitive assessment | Consistency StatusiAssessment of whether the source is consistent with the citation: • Consistent: Source matches citation • Inconsistent: Source does not match citation |
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[1] Chen TJ. ChatGPT and other artificial intelligence applications speed up scientific writing. J Chin Med Assoc 2023;86(4):351-3. | 1Found 1 citation to reference [1] in Vancouver numeric style: a direct numeric citation '[1]' on page 1. Counted by reference number only; no compound citations, ibid/et al., or formatting variations detected. | YesThe source exists as verified by multiple reputable databases. A search for the exact title "ChatGPT and other artificial intelligence applications speed up scientific writing" and author "Chen TJ" (or Tzeng-Ji Chen) returns a matching record in PubMed (PMID: 36791246), with the correct journal (Journal of the Chinese Medical Association), year (2023), volume (86), issue (4), and page numbers (351-353). The DOI (10.1097/JCMA.0000000000000900) is also present and resolves to the correct article. Additional confirmation is found on Consensus and Connected Papers, both listing the same article with matching bibliographic details. Databases searched: PubMed, publisher site (Wolters Kluwer), Consensus, Connected Papers, Google Scholar. All searches confirm the existence and bibliographic details of the source. No access limitations were encountered for bibliographic data, though full text is not always open. | RestrictedThe article is published in the Journal of the Chinese Medical Association by Wolters Kluwer. The landing page and PubMed record indicate that the article is not open access; full text and PDF require a subscription or institutional access. No open-access or green OA version was found. Abstract and bibliographic details are freely available, but the full article is paywalled. | Journal ArticleThe source is published in a peer-reviewed academic journal (Journal of the Chinese Medical Association), as confirmed by PubMed and the publisher. It is classified as an 'Editorial' according to PubMed's publication types, but it is still a journal article. The presence of a DOI, ISSN, and indexing in PubMed further confirm this classification. | YesThe article is published in a reputable, peer-reviewed medical journal indexed in PubMed. The journal is recognized in the academic community, and the article is classified as an editorial, which is a standard scientific publication type. The author is affiliated with academic medical institutions. While editorials may not always present original research, they are considered scientific literature when published in peer-reviewed journals. |
Correct
- Matches Vancouver: numbered entry; author as surname followed by initials (no given names), period after author.
- Article title in sentence case, followed by abbreviated journal title.
- Year;volume(issue):pages format is correct (2023;86(4):351-3).
- English conventions used appropriately (journal abbreviation, page range with en dash).
Consistent
This source follows the dominant bibliographic pattern used throughout the paper
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Correct All bibliographic elements in the citation are accurate: - Author: 'Chen TJ' matches the full name 'Tzeng-Ji Chen' as listed in PubMed and publisher records. - Title: 'ChatGPT and other artificial intelligence applications speed up scientific writing' matches exactly. - Journal: 'J Chin Med Assoc' is the standard abbreviation for Journal of the Chinese Medical Association. - Year: 2023 is correct. - Volume: 86, Issue: 4, Pages: 351-353 all match the official record. - No DOI is included in the original citation, but the rest of the citation is complete and accurate. There are no significant errors or omissions that would impede source location or attribution. Confidence in the verification is high. | Consistent |
[2] Matsui K, Koda M, Yoshida K. Implications of nonhuman "authors". JAMA 2023;330(6):566. | 1Vancouver numeric style: matched by reference number only. Found one occurrence of [2] on page 1; no other variants present. | YesA search for the exact title "Implications of nonhuman 'authors'" along with the authors Matsui K, Koda M, and Yoshida K confirms the existence of this source in multiple reputable databases. PubMed lists the article with PMID: 37552501, published in JAMA, 2023 Aug 8;330(6):566, with the authors Kentaro Matsui, Masahide Koda, and Kazunari Yoshida, matching the citation exactly. The DOI is 10.1001/jama.2023.10568. The article is also referenced in institutional repositories and is cited by other scholarly works, confirming its publication and bibliographic details. Databases searched: PubMed, JAMA Network, Elsevier Pure, Google Scholar. All returned consistent results. No access limitations were encountered for bibliographic data, though full text is paywalled. | RestrictedThe article is published in JAMA, which is a subscription-based journal. Access to the full text and PDF requires a personal or institutional subscription, or payment per article. No open access or freely available version was found. Only the citation and brief summary are openly accessible. | Journal ArticleThe source is published in JAMA, a peer-reviewed medical journal, and is listed as a 'Letter' and 'Comment' in PubMed. It has a DOI, volume, issue, and page number, all characteristic of a journal article. The publisher domain is jamanetwork.com, confirming its status as a journal publication. | YesJAMA is a leading peer-reviewed medical journal. The article is indexed in PubMed and has a DOI, indicating it meets scientific publication standards. Although the article is a 'Letter' or 'Comment', such formats in JAMA are subject to editorial review and are considered part of the scientific literature. The authors have academic affiliations, and the article is cited in other scientific works. |
Correct
- Vancouver structure present: authors, title, journal, year;volume(issue):pages.
- Abbreviated journal title (JAMA) and single-page eLocator style (566) acceptable in Vancouver.
- Proper punctuation with periods and semicolons consistent with Vancouver variants.
Consistent
This source follows the dominant bibliographic pattern used throughout the paper
|
Correct All bibliographic elements in the citation are accurate: - Author names: Kentaro Matsui, Masahide Koda, Kazunari Yoshida, matching the citation's initials and order. - Title: 'Implications of nonhuman "authors"' matches exactly, including the use of quotation marks. - Year: 2023, as published. - Journal: JAMA, correct abbreviation and full name. - Volume, issue, and page: 330(6):566, matches the publisher and PubMed records. - No DOI is included in the citation, but the DOI 10.1001/jama.2023.10568 is correct if needed. No discrepancies were found. The citation is fully accurate and sufficient for locating the source. | Consistent |
[3] Zack T, Lehman E, Suzgun M, Rodriguez JA, Celi LA, Gichoya J, et al. Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study. Lancet Digit Health 2024;6(1):e12-22. | 2Counted 2 citations to reference [3] under Vancouver (numeric) style by matching the exact reference number “[3]” only. Matches found on pages 2 and 3. | YesThe source exists as confirmed by multiple authoritative databases. A search for the exact title and author list in PubMed, ScienceDirect, and Google Scholar returns the article: 'Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study' published in The Lancet Digital Health, 2024, volume 6, issue 1, pages e12-e22. The PubMed entry (PMID: 38123252) matches the citation details, including author order and publication information. The DOI 10.1016/S2589-7500(23)00225-X is also registered and resolves to the correct article on the publisher's site. Databases searched: PubMed, ScienceDirect, Google Scholar, publisher's website (The Lancet Digital Health), and CrossRef. All searches were conducted on September 10, 2025. No access limitations were encountered for bibliographic data. The article is indexed and cited by other recent works, confirming its existence and impact. | RestrictedThe article is published in The Lancet Digital Health, which is a subscription-based journal. Access to the full text and PDF requires a personal or institutional subscription, or payment for individual access. The abstract is freely available on PubMed and the publisher's site, but the full article is behind a paywall. No open-access or green OA version was found in institutional repositories or on preprint servers as of the search date. | Journal ArticleThe source is published in The Lancet Digital Health, a peer-reviewed medical journal. The article is listed with a DOI, volume, issue, and page numbers, and is indexed in PubMed and other academic databases. The structure, publisher, and indexing confirm it is a peer-reviewed journal article. | YesThe article is published in a reputable, peer-reviewed scientific journal (The Lancet Digital Health). It includes a structured abstract, detailed methodology, results, discussion, and references. The journal is indexed in major scientific databases (PubMed, Scopus, Web of Science). The authors are affiliated with academic and medical institutions, and the article is supported by NIH funding. These are strong indicators of scientific rigor and credibility. |
Correct
- Uses Vancouver order: authors (with et al. appropriately), title, journal, year;volume(issue):pages/e-pages.
- Journal name is an accepted NLM abbreviation; electronic page range (e12-22) is acceptable.
- Numbered style aligns with Vancouver.
Consistent
This source follows the dominant bibliographic pattern used throughout the paper
|
Correct All bibliographic elements in the provided citation are accurate and match the official record: - Author names and order: Travis Zack, Eric Lehman, Mirac Suzgun, Jorge A Rodriguez, Leo Anthony Celi, Judy Gichoya, et al. are listed in the correct order, with 'et al.' appropriately used for additional authors. - Title: The title matches exactly, including subtitle and capitalization. - Publication year: 2024 is correct. - Journal: Lancet Digit Health is the correct journal, and the abbreviation is standard. - Volume, issue, and page numbers: 6(1):e12-e22 are correct. - DOI: 10.1016/S2589-7500(23)00225-X is correct and resolves to the article. No discrepancies were found. The citation is fully accurate and sufficient for locating the source. | Consistent |
[4] Bender EM, Gebru T, McMillan-Major A, Shmitchell S. On the dangers of stochastic parrots: can language models be too big?. In: Proceedings of the 2021 ACM conference on fairness, accountability, and transparency 2021;610-23. | 2Vancouver numeric style matched by reference number “[4]” only. Found 2 occurrences: page 2 (citation_id 46a030f79421) and page 3 (citation_id 421129a71f68). No compound or variant formats detected. | YesThe source was found on multiple reputable platforms, including the ACM Digital Library, Semantic Scholar, and institutional repositories. Searches using the exact title "On the dangers of stochastic parrots: can language models be too big?" and author names (Bender, Gebru, McMillan-Major, Shmitchell) returned consistent results. The publication year (2021), conference name (ACM Conference on Fairness, Accountability, and Transparency), and page numbers (610-623) match across sources. DOI 10.1145/3442188.3445922 is confirmed on the ACM site. Platforms searched: ACM Digital Library, Semantic Scholar, Google Scholar, institutional repositories, and open web. Search queries included exact title, author combinations, and DOI. No access limitations encountered. The source is widely cited and indexed. | OpenWhile the ACM Digital Library version is behind a paywall for some users, an open access PDF is freely available via institutional repositories and direct links (e.g., https://s10251.pcdn.co/pdf/2021-bender-parrots.pdf). The work is licensed under Creative Commons Attribution International 4.0, as stated in the PDF. No subscription or payment is required for the open version. No geographic restrictions were detected. | Conference PaperThe source is published in the proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT '21). It is listed as a full paper in the conference proceedings, with page numbers and DOI. The ACM Digital Library and Semantic Scholar both classify it as a conference paper. The structure and venue confirm this classification. | YesThe paper is peer-reviewed, published in a reputable ACM conference proceedings, and includes a structured abstract, references, and methodology. The authors are affiliated with academic institutions and are recognized experts in the field. The conference is indexed in major academic databases, and the paper is widely cited in scholarly literature. The work discusses research findings, provides recommendations, and is written in an academic style. |
Correct
- Acceptable Vancouver variant for conference proceedings: authors, title, followed by “In:” and proceedings title.
- Includes year and page range (2021;610-23), which are key elements.
- While some Vancouver guides add editors/publisher/location, inclusion is not strictly required across all implementations; this entry remains reasonably complete and consistent.
Inconsistent
The correct format should be: Bender EM, Gebru T, McMillan-Major A, Mitchell M. On the dangers of stochastic parrots: can language models be too big? In: Proceedings of the 2021 ACM conference on fairness, accountability, and transparency 2021;610-23. The current entry has an extra period after the question mark in the title ("?.") and a misspelled/misformatted last author; otherwise the conference-style variant is acceptable.
|
Correct All bibliographic elements match the official publication: Author names (Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, Shmargaret Shmitchell) are spelled and ordered correctly. The title is complete and accurate, including the subtitle and punctuation. The publication year (2021), conference name (ACM Conference on Fairness, Accountability, and Transparency), and page numbers (610-623) are correct. The DOI is accurate. No discrepancies were found. The citation is fully correct and matches the official record. | Inconsistent |
[5] Touvron H, Martin L, Stone K, Albert P, Almahairi A, Babaei Y, et al. Llama 2: open foundation and fine-tuned chat models. arXiv 2023. https://doi.org/10.48550/arXiv.2307.09288. | 2Vancouver numeric style detected; matched by reference number only. Found 2 instances of [5] on pages 2 and 3. Source ID: 55dcee496fd4. | YesA search for the exact title "Llama 2: open foundation and fine-tuned chat models" and the author list returns multiple authoritative results, including the official arXiv preprint (arXiv:2307.09288), Meta AI's publication page, and references in academic aggregators such as Semantic Scholar and Hugging Face Papers. The DOI https://doi.org/10.48550/arXiv.2307.09288 resolves directly to the arXiv preprint, confirming its existence. The publication year (2023) and author list match across all platforms. Databases checked include arXiv, Semantic Scholar, Meta AI, Hugging Face, and Google Scholar. No access limitations were encountered during verification. | OpenThe preprint is hosted on arXiv, which is an open-access repository. The full text and PDF are available to anyone without registration or payment. No embargo or geographic restrictions were encountered. The DOI and arXiv links are stable and widely used for citation. | Journal ArticleThe document is a preprint hosted on arXiv, which is classified as a pre-publication repository for scholarly articles. While not peer-reviewed in the traditional sense, arXiv preprints are considered journal articles or technical reports in academic contexts. The structure includes an abstract, methodology, results, and references, consistent with scientific articles. | YesThe source is a scientific preprint authored by researchers affiliated with Meta AI and other institutions. It includes a detailed methodology, experimental results, and references. While arXiv preprints are not peer-reviewed, they are widely recognized as scientific outputs, especially in computer science and AI. The document is cited by other scientific works and is structured according to academic standards. |
Correct
- Vancouver allows preprints/technical reports: author list, title, source (arXiv), year, and DOI.
- DOI provided, which is acceptable and often encouraged in Vancouver.
- Numbered, with consistent punctuation and order.
Consistent
This source follows the dominant bibliographic pattern used throughout the paper
|
Correct All bibliographic elements in the citation are accurate and match the official arXiv record: - Author names: The citation uses initials and last names, matching the arXiv listing. The use of 'et al.' is appropriate given the large author list. - Title: The title "Llama 2: open foundation and fine-tuned chat models" is exact and matches the arXiv record. - Year: 2023 is correct. - Source: arXiv is correctly identified as the publication venue. - DOI: The DOI is accurate and resolves to the correct document. No discrepancies were found. The citation is fully correct and sufficient for locating and attributing the source. | Consistent |
[6] Chelli M, Descamps J, Lavoue V, Trojani C, Azar M, Deckert M, et al. Hallucination rates and reference accuracy of ChatGPT and Bard for systematic reviews: comparative analysis. J Med Internet Res 2024;26:e53164. | 2Vancouver numeric style: matched by reference number [6] only. Found 2 occurrences: one on page 2 and one on page 3. No compound citations, no ibid/et al. variations. | YesThe source exists and is verifiable across multiple reputable platforms. Searches were conducted on the Journal of Medical Internet Research (JMIR) website, PubMed, PubMed Central, and institutional repositories. The exact title, author list, and publication details match across these databases. The article is indexed in PubMed (PMID: 38776130), has a DOI (10.2196/53164), and is available on the publisher's site and PubMed Central. Searches used included the exact title in quotes, author combinations, and DOI lookups. No access limitations were encountered for bibliographic data. The publication year, volume, and article number are consistent across all sources. | OpenThe article is open access on the publisher's website (JMIR), as well as on PubMed Central. No paywall, subscription, or institutional login is required. The article is labeled as open access and the PDF is freely downloadable. No embargo or geographic restrictions were encountered. | Journal ArticleThe source is published in the Journal of Medical Internet Research, a peer-reviewed academic journal. It has a DOI, is indexed in PubMed, and follows the structure of a scientific journal article (abstract, methods, results, discussion, references). The publisher is a reputable academic journal publisher. | YesThe article is peer-reviewed, published in a reputable scientific journal, and indexed in major academic databases (PubMed, PMC). It includes a structured abstract, detailed methodology, statistical analysis, and a comprehensive reference list. Author affiliations are academic and clinical institutions. The journal is recognized for scientific rigor. |
Correct
- Conforms to Vancouver journal format: authors, title, abbreviated journal, year;volume:eLocator.
- Use of eLocator (e53164) is acceptable in Vancouver for journals that use article IDs.
- Proper punctuation and ordering.
Consistent
This source follows the dominant bibliographic pattern used throughout the paper
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Correct All bibliographic elements in the provided citation are accurate and match the official publication record. Author names and order are correct, including the use of 'et al.' for brevity. The title is exact, including capitalization and punctuation. The journal name, year (2024), volume (26), and article number (e53164) are all correct. The citation style is consistent with standard scientific referencing. No discrepancies were found in any element. Confidence in the verification is high due to multiple independent confirmations. | Consistent |
[7] Hua HU, Kaakour AH, Rachitskaya A, Srivastava S, Sharma S, Mammo DA. Evaluation and comparison of ophthalmic scientific abstracts and references by current artificial intelligence chatbots. JAMA Ophthalmol 2023;141(9):819-24. | 4Vancouver (numeric) style: matched strictly by reference number [7]. Found 4 occurrences—two on page 2 and two on page 3. | YesA search for the exact title "Evaluation and comparison of ophthalmic scientific abstracts and references by current artificial intelligence chatbots" returns a direct match in JAMA Ophthalmology, volume 141, issue 9, pages 819-824, published in 2023. The PubMed entry (PMID: 37498609) confirms the article's existence, listing the same authors: Hong-Uyen Hua, Abdul-Hadi Kaakour, Aleksandra Rachitskaya, Sunil Srivastava, Sunil Sharma, and Daniel A. Mammo. The JAMA Network also hosts the article with matching bibliographic details. Databases searched include PubMed, JAMA Network, and Google Scholar. No access limitations were encountered for bibliographic verification. | RestrictedThe article is behind a paywall on the JAMA Network site. Access requires a personal or institutional subscription. No open-access or green OA version was found in PubMed Central or other repositories. Only the abstract is freely available; full text and PDF require payment or institutional access. | Journal ArticleThe source is published in JAMA Ophthalmology, a peer-reviewed medical journal. It has a DOI, is indexed in PubMed, and follows the structure of a scientific article (abstract, methods, results, discussion, references). The publisher is the American Medical Association, a reputable academic publisher. | YesThe article is published in a high-impact, peer-reviewed medical journal (JAMA Ophthalmology). It includes a structured abstract, methodology, results, and references. The authors have academic affiliations, and the article is indexed in major scientific databases. Peer review is standard for this journal. |
Correct
- Vancouver structure intact: authors, title, journal abbreviation, year;volume(issue):pages.
- Correct use of page range and issue.
- Numbered reference consistent with Vancouver.
Consistent
This source follows the dominant bibliographic pattern used throughout the paper
|
Correct All bibliographic elements match the official record: Authors (Hua HU, Kaakour AH, Rachitskaya A, Srivastava S, Sharma S, Mammo DA), title (Evaluation and comparison of ophthalmic scientific abstracts and references by current artificial intelligence chatbots), journal (JAMA Ophthalmol), year (2023), volume (141), issue (9), pages (819-824). The DOI (10.1001/jamaophthalmol.2023.3119) is correct. No discrepancies were found in author order, title, or publication details. The citation is fully accurate and complete. | Consistent |
[8] Bressler NM. What artificial intelligence chatbots mean for editors, authors, and readers of peer-reviewed ophthalmic literature. JAMA Ophthalmol 2023;141(6):514-5. | 2Counted 2 citations for the numeric Vancouver reference [8] corresponding to Bressler (2023). Matches were identified by exact reference number '[8]' only, appearing on pages 2 and 3. No compound citations or 'ibid.' variants were present. Source ID: f98d825fe590. | YesA direct search for the exact title in quotes ("What artificial intelligence chatbots mean for editors, authors, and readers of peer-reviewed ophthalmic literature") on PubMed, JAMA Network, and Google Scholar returned a matching result authored by Neil M. Bressler in JAMA Ophthalmology, published in June 2023, volume 141, issue 6, pages 514-515. The PubMed entry (PMID: 37103930) and the JAMA Network site both confirm the existence of this editorial. The bibliographic details (author, title, journal, year, volume, issue, pages) all match the citation provided. No alternate versions, translations, or reprints were found. The DOI (10.1001/jamaophthalmol.2023.1370) is also confirmed. | RestrictedThe article is published in JAMA Ophthalmology, which is a subscription-based journal. The full text and PDF are behind a paywall on the publisher's site. Access requires an individual or institutional subscription, or payment for the article. No open access or green OA version was found. Abstract and bibliographic information are freely available, but the full content is not. | Journal ArticleThe source is published in JAMA Ophthalmology, a peer-reviewed medical journal. The PubMed and publisher entries classify it as an 'Editorial' and 'Comment,' which are standard article types within academic journals. The presence of a DOI, ISSN, and indexing in PubMed further confirm its status as a journal article. | YesJAMA Ophthalmology is a reputable, peer-reviewed scientific journal. The article is authored by Neil M. Bressler, Editor in Chief, with clear academic credentials. Editorials in such journals, while opinion-based, are considered scientific literature due to their publication standards, editorial oversight, and relevance to the scientific community. The article is indexed in PubMed and has a DOI, further supporting its scientific status. |
Correct
- Meets Vancouver elements: author, article title, journal abbreviation, year;volume(issue):pages.
- Short page range correctly formatted (514-5).
- Punctuation and order align with Vancouver.
Consistent
This source follows the dominant bibliographic pattern used throughout the paper
|
Correct All bibliographic elements in the provided citation are accurate: Author (Bressler NM), title (What artificial intelligence chatbots mean for editors, authors, and readers of peer-reviewed ophthalmic literature), journal (JAMA Ophthalmol), year (2023), volume (141), issue (6), and page numbers (514-5) all match the official publisher and PubMed records. The citation uses the standard journal abbreviation and correct punctuation. No discrepancies were found. Confidence in the verification is high due to multiple independent database confirmations. | Consistent |
[9] Tools such as ChatGPT threaten transparent science; here are our ground rules for their use. Nature 2023;613(7945):612. | 2Counted 2 occurrences of the numeric Vancouver citation “[9]”, matching the source’s reference number 9. Direct matches found on pages 2 and 3. No compound citations or formatting variations were present. | YesThe source was found on multiple platforms, including Nature's official website, PubMed, and institutional library databases. Searches included exact title match in Google Scholar, PubMed, Nature.com, and library discovery tools. The article appears as 'Tools such as ChatGPT threaten transparent science; here are our ground rules for their use' in Nature, volume 613, issue 7945, page 612, published January 2023. The DOI (10.1038/d41586-023-00191-1) and PMID (36694020) match the citation details. No alternate versions or significant discrepancies were found. Timestamp: 2025-09-10. No access limitations encountered for bibliographic verification. | RestrictedAccess to the full text on Nature's website requires a subscription or institutional login. The article is not marked as open access (Gold OA) and does not display a Creative Commons license. Abstract and summary are freely viewable, but full content is behind a paywall. No open access versions or preprints were found. No evidence of embargoed green OA. | Journal ArticleThe source is published in Nature, a peer-reviewed scientific journal, and is listed as an editorial/comment in PubMed. It has a DOI, volume, issue, and page number, and is indexed in major academic databases. The structure and publisher confirm it as a journal article. | YesNature is a leading peer-reviewed scientific journal. The article is classified as an editorial/comment, which, while not original research, is a formal scientific publication subject to editorial standards. It discusses research ethics and policy, cites relevant literature, and is authored by Nature's editorial team. The article is indexed in PubMed and has a DOI, further supporting its scientific status. |
Correct
- Vancouver permits entries without named authors (title-leading entries for unsigned editorials/commentaries).
- Journal abbreviation, year;volume(issue):page present.
- Concise, numbered format aligns with Vancouver style.
Inconsistent
Author name(s) are missing; to match the dominant format it should begin with author(s) before the title (e.g., Nature Editors. Tools such as ChatGPT threaten transparent science; here are our ground rules for their use. Nature 2023;613(7945):612.). Essential bibliographic information (authors) is absent compared to the prevailing pattern.
|
Correct All bibliographic elements match the original source: title, journal (Nature), year (2023), volume (613), issue (7945), and page (612). The DOI and PMID are correct. The citation does not list individual authors, which is appropriate for a Nature editorial. No significant errors or omissions were found. The citation is fully accurate and sufficient for source location and attribution. | Inconsistent |
[10] Flanagin A, Bibbins-Domingo K, Berkwits M, Christiansen SL. Nonhuman "authors" and implications for the integrity of scientific publication and medical knowledge. JAMA 2023;329(8):637-9. | 2Vancouver numeric style: matched by reference number [10] only. Found 2 occurrences—on pages 2 and 3. No compound citations or formatting variations observed. | YesThe source exists and is verifiable across multiple reputable platforms. Searches were conducted on JAMA Network (jamanetwork.com), PubMed (pubmed.ncbi.nlm.nih.gov), and Europe PMC (pmc.ncbi.nlm.nih.gov) using the exact title in quotes, author names, and DOI. The article is indexed as: Flanagin A, Bibbins-Domingo K, Berkwits M, Christiansen SL. Nonhuman “Authors” and Implications for the Integrity of Scientific Publication and Medical Knowledge. JAMA. 2023;329(8):637-639. DOI: 10.1001/jama.2023.1344. The citation is also referenced in other scholarly works and policy documents, confirming its publication and bibliographic details. No alternate versions or significant discrepancies were found. Searches were performed on September 10, 2025. No access limitations were encountered for bibliographic data. | RestrictedThe article is behind a paywall on the JAMA Network site. Access to the full text and PDF requires a subscription, institutional access, or payment. No open access (gold, green, or bronze) versions were found. Abstract and bibliographic information are freely available, but the full article is not. No geographic restrictions were detected, but access is limited by paywall. | Journal ArticleThe source is published in JAMA, a peer-reviewed medical journal, as indicated by the publisher's domain (.com for JAMA Network), the presence of a DOI, ISSN, and indexing in PubMed. The article is classified as an 'Editorial' in PubMed, which is a recognized journal article type. The structure, author affiliations, and publication metadata confirm it is a journal article. | YesJAMA is a leading peer-reviewed medical journal. The article is authored by senior editorial staff of JAMA, is indexed in PubMed, and is cited in other scholarly literature. While the article is an editorial (not original research), it is published in a scientific venue, discusses scientific publication ethics, and is written by recognized experts. The presence of a DOI, structured metadata, and inclusion in major academic databases further support its scientific status. |
Correct
- Standard Vancouver: authors (surname + initials), title, journal abbreviation, year;volume(issue):pages.
- Proper punctuation with semicolon and colon.
- Consistent with English-language Vancouver conventions.
Consistent
This source follows the dominant bibliographic pattern used throughout the paper
|
Correct All bibliographic elements match the official record: Author names (Annette Flanagin, Kirsten Bibbins-Domingo, Michael Berkwits, Stacy L Christiansen) are correct and in the right order; the title is exact, including quotation marks and capitalization; the publication year (2023), journal (JAMA), volume (329), issue (8), and page numbers (637-639) are accurate. The DOI (10.1001/jama.2023.1344) is correct. No discrepancies were found. The citation is fully accurate and sufficient for source identification. | Consistent |
[11] Thorp HH. ChatGPT is fun, but not an author. Science 2023; 379(6630):313. | 2Counted 2 citations for the Vancouver numeric reference [11] (Source ID: f681ff8901e4). Exact '[11]' occurrences found on pages 2 and 3; no compound citations or formatting variants. Matches based solely on the reference number, not author names. | YesA systematic search was conducted using the exact title "ChatGPT is fun, but not an author" and author "Thorp HH" across multiple platforms: PubMed, Science (AAAS), Semantic Scholar, and Google Scholar. PubMed (https://pubmed.ncbi.nlm.nih.gov/36701446/) lists the article with full bibliographic details, including author, journal, volume, issue, page, and DOI. Science (https://www.science.org/doi/10.1126/science.adg7879) hosts the article directly, confirming its publication in Science, volume 379, issue 6630, page 313, in January 2023. Semantic Scholar and Google Scholar also index the article, confirming its existence and citation details. PDF versions are available via institutional repositories and open research archives, further substantiating the source's existence. No access limitations were encountered for bibliographic verification, though full text access may require subscription. | RestrictedThe official publisher site (Science) requires a subscription or institutional access for full text and PDF download. Open access PDF versions are available from third-party repositories, but these are not officially licensed by the publisher and may not be permanent. No gold or hybrid open access indicators were found on the publisher's site. Abstract and bibliographic details are freely accessible. | Journal ArticleThe source is published in Science, a peer-reviewed academic journal, as indicated by the volume, issue, and page number. PubMed and Science index the article as an 'Editorial,' which is a recognized journal article type. Presence of DOI, ISSN, and indexing in academic databases further confirm its classification as a journal article. | YesScience is a leading peer-reviewed academic journal. The article is indexed in PubMed and assigned a DOI, indicating formal publication standards. Although the article is an editorial and does not present original research or methodology, it is authored by the Editor-in-Chief and published in a scientific venue, meeting criteria for scientific commentary. The article discusses editorial policy and scientific misconduct, referencing established practices and standards. |
Correct
- Follows Vancouver: author, title, journal, year;volume(issue):page.
- Minor spacing before volume after semicolon is a harmless variation often tolerated in Vancouver implementations.
- Otherwise complete and correctly ordered.
Consistent
This source follows the dominant bibliographic pattern used throughout the paper, including the documented variant with a space after the semicolon.
|
Correct All bibliographic elements match the official source: - Author: H. Holden Thorp is correctly listed as 'Thorp HH' (standard abbreviation for Science and PubMed). - Title: 'ChatGPT is fun, but not an author' matches exactly, with correct punctuation and capitalization. - Year: 2023 is accurate, with online publication on January 26 and print on January 27. - Journal: Science is correctly cited, with volume 379, issue 6630, and page 313. - No errors in DOI, page, or author details. Citation is fully accurate and sufficient for source location and attribution. | Consistent |
[12] Cacciamani GE, Collins GS, Gill IS. ChatGPT: standard reporting guidelines for responsible use. Nature 2023;618(7964):238. | 2Vancouver (numeric) style: matched by reference number only. Found two occurrences of [12] on pages 2 and 3; no other variants or compound citations. | YesThe source exists as verified by multiple independent databases and platforms. A direct match for the title 'ChatGPT: standard reporting guidelines for responsible use' by Cacciamani GE, Collins GS, and Gill IS is found in Nature, 2023, volume 618, issue 7964, page 238. This is confirmed by the NASA ADS database, Semantic Scholar, and a library catalog entry from RMIT, all of which list the same bibliographic details. The article is also cited in other scholarly works and referenced in JAMA, further substantiating its existence. Searches were conducted on: NASA ADS, Semantic Scholar, RMIT Library, JAMA Network, and Google Scholar. Queries included the exact title in quotes, author combinations, and journal/volume/page details. All searches returned consistent bibliographic information. No access limitations were encountered for bibliographic verification, though full text access is restricted. | RestrictedThe article is behind a paywall on the Nature website. Access requires a subscription or institutional login. No open-access or green OA version was found in institutional repositories or preprint servers. The article is not available via PubMed Central or Europe PMC. Only the abstract and citation details are freely accessible. No evidence of embargoed or delayed open access was found. | Journal ArticleThe source is published in Nature, a peer-reviewed scientific journal, and is classified as a 'Letter to the Editor.' It has a DOI, is indexed in major academic databases, and follows the structure of a short scientific communication. The bibliographic details (volume, issue, page) and journal branding confirm its status as a journal article. | YesNature is a leading peer-reviewed scientific journal. The article is authored by academics with institutional affiliations and is indexed in scientific databases. Letters to the Editor in Nature are subject to editorial review and are considered part of the scientific literature, especially when they propose guidelines or standards. The article is cited in other peer-reviewed publications, indicating its acceptance as a scientific contribution. |
Correct
- Vancouver-compliant: authors, title, abbreviated journal, year;volume(issue):page.
- Single-page format acceptable.
- Proper punctuation and sequence.
Consistent
This source follows the dominant bibliographic pattern used throughout the paper.
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Correct All bibliographic elements match the official record: - Author names: Cacciamani GE, Collins GS, Gill IS (order and initials are correct per Nature's style) - Title: 'ChatGPT: standard reporting guidelines for responsible use' matches exactly - Year: 2023 is correct - Journal: Nature, volume 618, issue 7964, page 238 are all accurate - The DOI (10.1038/d41586-023-01824-9) matches the article No discrepancies were found. The citation is complete and accurate according to publisher and database records. | Consistent |
[13] Gao CA, Howard FM, Markov NS, Dyer EC, Ramesh S, Luo Y, et al. Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers. NPJ Digit Med 2023;6(1):75. | 2Vancouver (numeric) style: matched by reference number only. Found two occurrences of [13] on pages 2 and 3; each counted once. | YesThe source was found on multiple platforms, including Nature's official website (nature.com), which hosts NPJ Digital Medicine. The exact title 'Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers' matches the article published in NPJ Digital Medicine, 2023, volume 6, article number 75. The DOI (10.1038/s41746-023-00819-6) is confirmed on the publisher's site and in citation databases such as PubMed and Semantic Scholar. Searches were conducted on Nature.com, PubMed, Semantic Scholar, and Google Scholar using the exact title and author names. Timestamp: September 10, 2025, 10:35 UTC. No access limitations were encountered. Alternate versions (preprints) were found on bioRxiv, but the Nature publication is the final peer-reviewed version. | RestrictedThe Nature publisher version is behind a paywall; only the abstract and metadata are freely accessible. Full text and PDF require subscription or institutional access. The preprint version on bioRxiv is open access under a CC-BY-NC-ND 4.0 license, but it is not the final peer-reviewed article. No geographic restrictions were detected. No embargo period applies to the preprint. | Journal ArticleThe source is published in NPJ Digital Medicine, a peer-reviewed scientific journal by Nature Publishing Group. It has a DOI, ISSN, and follows the structure of a scientific journal article (abstract, introduction, methods, results, discussion, references). The publisher is a reputable academic outlet. The preprint version is also a journal article manuscript, but not peer-reviewed. | YesThe article is peer-reviewed, published in a reputable scientific journal, and indexed in major databases (PubMed, Scopus, Web of Science). It contains a clear methodology, statistical analysis, results, discussion, and references. Author affiliations are academic institutions, and the article includes submission and acceptance dates. The preprint version is not peer-reviewed, but the Nature version is. |
Correct
- Vancouver format respected: authors, title, journal abbreviation, year;volume(issue):article number/page.
- Use of article number (75) is acceptable for this journal.
- Numbered and properly punctuated.
Consistent
This source follows the dominant bibliographic pattern used throughout the paper.
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Correct All bibliographic elements match the published source: Author names (Gao CA, Howard FM, Markov NS, Dyer EC, Ramesh S, Luo Y, et al.), title (Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers), journal (NPJ Digit Med), year (2023), volume (6), article number (75). The citation uses the standard abbreviation for the journal and includes the correct article number. DOI is accurate. No discrepancies were found. The citation is fully correct and enables precise source location. | Consistent |
[14] Ioannidis JPA, Pezzullo AM, Boccia S. The rapid growth of mega-journals: threats and opportunities. JAMA 2023;329(15): $1253-4$. | 2Counted 2 citations in Vancouver numeric style by matching the exact bracketed reference number [14]. Matches found on pages 2 and 3; no combined citations, variants, or ibid references. Source ID: 37c6318405ab. | YesThe source exists as confirmed by multiple authoritative databases. A search for the exact title and author combination ('The rapid growth of mega-journals: threats and opportunities' Ioannidis JPA) in PubMed, JAMA, and library databases returns a Viewpoint article published in JAMA, 2023, volume 329, issue 15, pages 1253-1254. The DOI 10.1001/jama.2023.3212 is consistently associated with this article. Searches were conducted on PubMed, JAMA's official website, and institutional library catalogs. No access limitations were encountered for bibliographic data, though full text is paywalled. | RestrictedThe article is behind a paywall on the JAMA website. Access requires a subscription or institutional login. No open-access or freely available full text was found. Only the citation and summary are openly accessible via PubMed and library listings. | Journal ArticleThe source is published in JAMA, a peer-reviewed medical journal, and is listed as a 'Viewpoint' article. It has a DOI, is indexed in PubMed, and follows the structure of a scholarly journal article. The publisher is the American Medical Association, confirming its status as a journal article. | YesJAMA is a leading peer-reviewed medical journal. The article is authored by established academics with institutional affiliations. The article is indexed in PubMed and has a DOI. While the 'Viewpoint' format is more opinion-based, it is still subject to editorial review and is published in a scientific context. |
Incorrect
The correct format should be: Ioannidis JPA, Pezzullo AM, Boccia S. The rapid growth of mega-journals: threats and opportunities. JAMA 2023;329(15):1253-4.
- The page range is wrapped in TeX math delimiters ($ ... $), which is not Vancouver style and constitutes a clear formatting error.
- Otherwise, the entry has appropriate Vancouver elements (authors, title, journal abbreviation, year;volume(issue):pages). Removing the TeX delimiters and extra space after the colon would align it with Vancouver.
Inconsistent
The correct format should be: Ioannidis JPA, Pezzullo AM, Boccia S. The rapid growth of mega-journals: threats and opportunities. JAMA 2023;329(15):1253-4. This entry contains extraneous dollar signs around the page range and an unnecessary space after the colon, which violates the dominant formatting.
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Correct All bibliographic elements match the official record: Ioannidis JPA, Pezzullo AM, Boccia S. The rapid growth of mega-journals: threats and opportunities. JAMA. 2023 Apr 18;329(15):1253-1254. doi: 10.1001/jama.2023.3212. Author names, title, journal, year, volume, issue, and page numbers are all accurate. The citation is complete and consistent with the publisher and PubMed records. No discrepancies were found. | Inconsistent |
[15] Tang A, Tung N, Nguyen HQ, Kwok KO, Luong S, Bui N, et al. Health information for all: do large language models bridge or widen the digital divide? BMJ 2024;387:e080208. | 0Vancouver numeric style: matched strictly by the reference number [15]. No occurrences of [15] were found among the extracted citations (only [1]–[14] appear). Therefore, 0 matches. Source ID: 2ec75ba4537a. | YesA direct search for the exact title in quotes ('Health information for all: do large language models bridge or widen the digital divide?') and author names (Tang A, Tung N, Nguyen HQ, Kwok KO, Luong S, Bui N, et al.) on PubMed, Google Scholar, and the BMJ website confirms the existence of this article. The PubMed entry (PMID: 39393817) matches the citation exactly, including the title, author list, journal (BMJ), year (2024), volume (387), and article number (e080208). The DOI (10.1136/bmj-2024-080208) is also present and resolves to the correct article on the BMJ website. Searches were conducted on PubMed, Google Scholar, and the BMJ publisher site on September 10, 2025. No access limitations were encountered for bibliographic data, but full text access is restricted. | RestrictedThe article is published in BMJ, which typically offers a mix of open access and paywalled content. For this article, the full text and PDF are behind a paywall or require institutional access. The abstract and bibliographic information are freely available, but the full article is not open access as of the search date. | Journal ArticleThe source is published in BMJ, a peer-reviewed medical journal, and is listed as an article with a DOI, PMID, volume, and article number. The structure and indexing in PubMed confirm it is a journal article, not a letter, editorial, or other type. | YesBMJ is a well-established, peer-reviewed scientific journal. The article is indexed in PubMed, has a DOI, and lists multiple academic affiliations for the authors. Although the abstract is not available, the publication venue and author credentials indicate it is a scientific source. There is no evidence suggesting it is an editorial or opinion piece. |
Correct
- Vancouver structure present: authors, title, journal, year;volume:eLocator.
- Use of eLocator (e080208) is acceptable in Vancouver for BMJ.
- Proper punctuation and ordering; numbered reference aligns with Vancouver.
Consistent
This source follows the dominant bibliographic pattern used throughout the paper.
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Correct All bibliographic elements in the citation are accurate: - Author names and order match the PubMed and BMJ records (Tang A, Tung N, Nguyen HQ, Kwok KO, Luong S, Bui N, et al.). - The title is exact: 'Health information for all: do large language models bridge or widen the digital divide?'. - The publication year (2024), journal (BMJ), volume (387), and article number (e080208) are correct. - The DOI (10.1136/bmj-2024-080208) matches the official record. No discrepancies were found, and the citation is fully verifiable. | Consistent |