Algorithm 3: Source-Fitted Reliability-Gated Selective Classification

Input:  Calibrated probabilities; predictive entropy; logit-derived energy; conformal prediction set; source-fitted standardization parameters; signal weights; acceptance threshold; review threshold.

Output: AI-supported triage, specialist review, or reliability-based deferral.

Method: Compute one minus maximum calibrated confidence. Compute predictive entropy. Compute the logit-derived energy reliability feature. Determine conformal prediction-set size. Apply the fixed source-derived standardization to the four reliability signals. Combine the standardized signals to obtain the reliability-risk score. If the score is below the acceptance threshold, retain the prediction for AI-supported triage. If the score lies between the acceptance and review thresholds, assign the case to specialist review. Otherwise, assign the case to reliability-based deferral. Report retained coverage, accepted-case accuracy, selective risk, and non-retained rate. DDI OOD scores and explanation-stability measurements are not inputs to this decision rule.