The DOI matches its Crossref record.
How Nature readers are using ChatGPT
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Generative artificial intelligence (AI), which uses generative models such as large language models to create text, images, or other media in response to a prompt, 1 is rapidly becoming integrated into health care practice and research.2”
From Increasing Generative Artificial Intelligence Competency among Students Enrolled in Doctoral Nursing Research Coursework (2024) · cites this paper as [2]
Citations
Cited by
Sorted by citations
Science in the age of large language models
Birhane, A., Kasirzadeh, A., Leslie, D., & Wachter, S. (2023) · Nature Reviews Physics · doi:10.1038/s42254-023-00581-4 · Cited by 344
ChatGPT: ethical concerns and challenges in academics and research
Guleria, A., Krishan, K., Sharma, V., & Kanchan, T. (2023) · The Journal of Infection in Developing Countries · doi:10.3855/jidc.18738 · Cited by 170
“In an online survey of 672 readers conducted by Nature , around 80% of respondents had used ChatGPT once, while 8% used ChatGPT on an everyday basis and 14% several times per week [31].”
BackgroundEppler, M., Ganjavi, C., Ramacciotti, L. S., Piazza, P., Rodler, S., Checcucci, E., Gomez Rivas, J., Kowalewski, K. F., Belenchón, I. R., Puliatti, S., et al. (2024) · European Urology · doi:10.1016/j.eururo.2023.10.014 · Cited by 117
Wachinger, J., Bärnighausen, K., Schäfer, L. N., Scott, K., & McMahon, S. A. (2024) · Qualitative Health Research · doi:10.1177/10497323241244669 · Cited by 125
Cadamuro, J., Cabitza, F., Debeljak, Ž., Bruyne, S. D., Frans, G., Pérez, S. M., Özdemir, H., Tolios, A., Carobene, A., & Padoan, A. (2023) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2023-0355 · Cited by 126
“…natural language processing (NLP) model, which o ff ers an almost in fi nite number of application possibilities, including creative fun, brainstorming, writing code and presentations, conducting literature presentations and reviews, writing research manuscripts and writing course-work or exams [17].”
Background
Metadata
- Authors
- Owens, B.
- Corresponding author
- Owens, Brian
- Venue
- Nature
- Published
- 2023-02-20
- Volume
- 615
- Issue
- 7950
- Pages
- 20-20
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W4321371665
- Cited by
- 109
- References
- 0
- Citations by year
- 2026: 9 · 2025: 22 · 2024: 39 · 2023: 39
- Type
- other
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Keywords
- ChatGPT, AI chatbots, scholarly publishing, creative writing, generative AI
- MeSH terms
- Machine Learning, Humans, Periodicals as Topic, Surveys and Questionnaires, Reading, Research Personnel, Writing
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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