  Explainably estimating confidence in published scholarly work offers
opportunity for faster and more robust scientific progress. We develop a
synthetic prediction market to assess the credibility of published claims in
the social and behavioral sciences literature. We demonstrate our system and
detail our findings using a collection of known replication projects. We
suggest that this work lays the foundation for a research agenda that
creatively uses AI for peer review.
