The ROC Curve and the Area under It as Performance Measures

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Predictive validity performance indicators in violence risk assessment: a methodological primer. (2013, background): “Evidence suggests this is because comparing AUCs is only of use when differentiating between models that have no discriminative utility and those that do (Marzban, 2004; Vickers, Cronin, & Begg, 2011; Ware, 2006).”
Transforming the Area under the Normal Curve (AUC) into Cohen’s d, Pearson’s rpb, Odds-Ratio, and Natural Log Odds-Ratio: Two Conversion Tables (2018, background): “For its part, the area under the curve (AUC) is a relatively frequently used estimate of the effect size of the decisions taken under risk and uncertainty, in vigilance studies, forensic studies, law and human behavior studies, and, also, it is the basis for the estimates of the ROC curve when a nor”
Extremal Dependence Indices: Improved Verification Measures for Deterministic Forecasts of Rare Binary Events (2011, background): “However, SEDS is only optimized for perfect, unbiased forecasts and so is hedgable in the sense of Marzban (1998).”