Definition
A framework that splits a detector's behavior into how good its sensor is and how readily it raises an alarm.
A classical statistical framework distinguishing sensitivity (signal-noise discriminability) from criterion (response bias) in binary classification; used by Fukui to argue alignment-training intensification shifts the criterion rather than improving sensor quality.