The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Reporting Use of AI in Research and Scholarly Publication—JAMA Network Guidance
Abstract
Nonhuman "Authors" and Implications for the Integrity of Scientific Publication and Medical Knowledge
Overview
Integrity signals
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Metadata
- Authors
- Flanagin, A., Pirracchio, R., Khera, R., Berkwits, M., Hswen, Y., & Bibbins-Domingo, K.
- Affiliations
- Executive Managing Editor, JAMA and JAMA Network
- University of California, San Francisco (US)
- Yale University (US)
- JAMA and JAMA Network
- Editor in Chief, JAMA and JAMA Network
- Corresponding author
- Flanagin, Annette
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2024-04-02
- Volume
- 331
- Issue
- 13
- Pages
- 1096
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W4392563403
- Cited by
- 103
- References
- 25
- Citations by year
- 2026: 46 · 2025: 43 · 2024: 14
- FWCI
- 40.47
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Education › Academic integrity and plagiarism
- Social Sciences › Library and Information Sciences › Academic Writing and Publishing
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- artificial intelligence, AI-generated content, authorship, scientific integrity, scholarly publishing, research reporting, medical knowledge
- MeSH terms
- Publishing, Biomedical Research
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.