What it does
It analyses exported decisions rather than calling TypeSafe Jev.
Benchmarks & research
jeval
Evaluates whether classifier confidence is calibrated and derives human-review thresholds from the cost of mistakes.
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How you can use it
Start by collecting a spreadsheet of past guesses your system made alongside the real answers. Write down what a wrong guess costs your team compared to the cost of having a person double-check it. A developer can then pass these numbers into the tool to see how trustworthy those guesses really are.
The tool works out when an answer is too risky and needs a person to step in. Because it only examines past results that you already saved, it cannot stop mistakes in live decisions on its own.