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Cost-Aware Post-Hoc Deferral Under Calibration and Shift: An Environmental AI Case Study
Choosing a deferral policy for a frozen classifier requires more than ranking uncertain cases: confidence may be miscalibrated, errors have unequal costs, reviewers can err, and deployment data can leave calibration support. We study these interactions through EcoTrust, a post-hoc framework that com
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