More Choices, Fewer Decisions: Ordinal-Scale Bias in JEV-like Direct-Decision Models
Direct-decision models enable efficient classification and evaluation by selecting from predefined candidates, but their reliability depends on more than prediction accuracy. Across 40 datasets and nine models from the JEV, KEV, and StartLux Decision families, we identify a systematic tendency to underuse ordinal ratin...