Human-AI Collaboration for Estimating Scientific Replicability

ArXi:2605.27394v1 Announce Type: cross Determining whether published scientific findings can successfully be replicated is a long-standing challenge in the empirical sciences. Existing approaches for replicability assessment typically rely either on human judgment, i.e., creative assembly of human experts, or on machine learning models trained on paper content metadata. While both approaches have nstrated value, each also has important limitations.