What it does
The zero-dependency library combines six uncertainty measures. In the maker's 72-question study, Jev's Choice confidence closely tracked the winning probability.
Benchmarks & research
Turns Jev probability distributions into one plain-language sureness verdict, from certain through torn to clueless.
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The zero-dependency library combines six uncertainty measures. In the maker's 72-question study, Jev's Choice confidence closely tracked the winning probability.
When an AI model gives percentage chances for several choices, your developer can use this code to turn those raw numbers into a plain verdict. It combines multiple math formulas to label an answer as certain, confident, leaning, torn, or clueless.
Your system can act on clear picks immediately. When choices are too close or the model is confused, the system can stop and ask a person instead. A high rating only means the numbers strongly favor one option, not that the choice is correct.