Joint statement on the responsible use of generative models in review
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Abstract
Signatories commit to disclosing any machine assistance in editorial assessment and to keeping final judgement with named human reviewers. The analysis draws on a corpus assembled from institutional repositories, preprint servers and publisher metadata feeds, and the full dataset together with the code needed to reproduce every figure is deposited under a permissive licence. Limitations, including coverage gaps in non-English sources, are set out in the discussion.
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