MedJev: Evaluating Zero-Shot System-One Decision Making in Medicine
These findings establish open System One models as a promising zero shot baseline for medical AI, combining competitive predictive performance with low computational cost and efficient local calibration, and introduce a lightweight, two parameter recalibration method.
Simon A. Lee, Jia-Hang Sha, M. Jeong et al.
· 0 citations