ML is useful for many things, but not for predicting scientific replicability

[birkenkrahe]

https://www.aisnakeoil.com/p/machine-learning-is-useful-for-many

We don't think ML for replication is in a state where it is likely to be useful for making important decisions, and we're skeptical it can ever be, given the low amount of data on replicability that could be used to train such models, the large variability in the type of research being judged, and strong incentives to game any decision-making system that uses ML.