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This paper is in the following e-collection/theme issue:

Short Paper (42) Equity and Digital Divide (533) Chatbots and Conversational Agents (1231) Generative Language Models Including ChatGPT (1625) Validity, Reliability, and Bias (148)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57667, first published .
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Use of ChatGPT to Explore Gender and Geographic Disparities in Scientific Peer Review

Use of ChatGPT to Explore Gender and Geographic Disparities in Scientific Peer Review

Authors of this article:

Paul Sebo1 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Sebo P, Wang T. ChatGPT's performance in sample size estimation: a preliminary study on the capabilities of artificial intelligence. Family Practice 2025;42(5) View
  2. Sun Z. Large language models in peer review: challenges and opportunities. Scientometrics 2025;130(10):5503 View
  3. Sun Z. Relationship between peer review quality and scientific impact: Insights from LLMs-assessed reviews. Journal of Informetrics 2026;20(2):101801 View
  4. Kim E, Singh V. Artificial Intelligence in Peer Review: A Bibliometric-Guided Thematic Review and a Task-Contingent Legitimacy Framework. Publications 2026;14(4):63 View
  5. Sebo P, Wang T. Bias and Reliability of AI-Based Peer Review: A Comparative Study of ChatGPT and Claude Evaluating Scientific Abstracts. Journal of General Internal Medicine 2026 View