Definition
Calibrated decisions are AI outputs where stated confidence/probability tracks observed accuracy — enabling downstream software to threshold or escalate uncertain cases.
Key Points
- jev returns probability distributions on predefined choice sets
- Contrasts with generative LLM classifiers prone to ai-hallucination on free-form outputs