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#machine learning Review Oct 2026

Calibrated Evidence Inference With a Small, Permissively Licensed Open Model

Systematic reviewers who use a model to read randomized trials need each answer and a measure of how far to trust it. If the model is calibrated, so that its stated probabilities match how often it is right, a reviewer can accept its confident answers and check the rest by hand. This paper fine-tunes Qwen3-4B-Base with...

Johann Li · 0 citations

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