Unverified50% confidenceFactExact time
The Jev model only makes three types of judgments: selecting one from options, giving a score, or outputting yes/no, and each judgment comes with a confidence level.
1
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50%
Confidence
Long-term
Relevance
9/24/2026
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Related Claims
UnverifiedThe Jev model breaks down judgment tasks into three answer types: noul (yes/no judgment), choice (multi-class classification), and score (graded scoring).79% similarUnverifiedCLM replicates Jev's "System One" decision interface and supports three core question primitives: Choice (returns a categorical probability distribution), Noul (outputs calibrated true/false probabilities), and Score (scores according to a rubric).70% similarUnverifiedJev's interaction model is built around three components: state (input context), questions (available actions), and answer (output with probabilities).69% similarUnverifiedJev's design decouples judgment from execution, allowing the main model to focus on tasks that require generative capabilities.68% similarUnverifiedExisting LLMs optimize for "human preference," whereas new models like Jev optimize for "calibrated decisions"—that is, cognitively honest probabilistic answers.65% similar
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