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How far can a commercial decision model's probabilities be trusted? A calibration audit of Jev against open and general-purpose classifiers
Commercial "decision models" return a choice or a probability for a closed question about a passage of text, and they are marketed as calibrated judgments that software can act on directly. We audit one such system, TypeSafe's Jev 1.13.0, with 3,244 evaluations of 2,372 distinct texts from two publi
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