Receiver operating characteristics curves and related decision measures: A tutorial

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Spatial bias in the GBIF database and its effect on modeling species' geographic distributions (2014, methodology): “Because AUC calculation for presence-only data, as provided by Maxent, replaces missing commission error data with predicted area size, we denote this as AUCMaxent to distinguish it from true AUC (Brown & Davis, 2006; see below).”
The Receiver-Operating Characteristic (Roc) Analysis: Fundamentals and Applications in Clinical Psychology (2009, background): “If Y≥V, the subject will be classified as positive; if Y<V, the subject will be classified as negative (Brown & Davis, 2006).”
Applied Predictive Modeling (2013, methodology): “ROC curves (Altman and Bland 1994; Brown and Davis 2006; Fawcett 2006) were designed as a general method that, given a collection of continuous data points, determine an effective threshold such that values above the threshold are indicative of a specific event.”