Self-prompting and cross-model consensus enable reproducible data extraction from scientific literature with large language models
An auditable division of labour is defined in which experts specify the evidence standard, models cross-check repeated extractions and researchers resolve disputed cases, providing a practical route to scaling scientific data curation without relinquishing expert oversight.
V. Romanov, Monique Bax, S. Niederer
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