2026-10-12T16:22:03Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33816916 2026-09-15T18:21:46Z category_21 category_64 category_106 category_122 portal_5 item_type_3 month_year_09_2026

<p>Predicting peer review content.</p> Stefan Müller (89) Gabriel Okasa (24951244) Michaela Strinzel (5772533) Anne Jorstad (5011397) Katrin Milzow (5772539) Matthias Egger (24558) Biotechnology Cancer Science Policy Mental Health 3 million sentences female applicants tended applicant &# 8217 disciplinary differences shape male applicants disciplinary differences disciplinary context track record social sciences significantly longer natural sciences male reviewers important implications grant proposals covering 11 closely aligned 385 proposals <p>Coefficients from mixed-effects models show percentage point differences in prevalence relative to reference category. Models include control variables listed in S2 Table in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0352900#pone.0352900.s001" target="_blank">S1 File</a> and random intercepts for proposal IDs. 95% confidence intervals in square brackets. Analysis based on 39,280 peer review reports on 11,385 proposals. MINT: Mathematics, Informatics, Natural Sciences, and Technology; SSH: Social Sciences and Humanities; LS: Life Sciences.</p> 2026-09-15T18:21:36Z Dataset Dataset 10.1371/journal.pone.0352900.t003 https://figshare.com/articles/dataset/_p_Predicting_peer_review_content_p_/33816916 CC BY 4.0