Scientists are increasingly concerned about that the lack of reproducibility in research may lead to, among other things, slower scientific output and less public trust in science. Now, a team of researchers report that creating a prediction market where artificially intelligent — AI — agents bet on hypothetical replication studies could lead to an explainable, scalable approach to estimate confidence in published scholarly work.