CalibratedDecisions.

Repo · Benchmarks & research

jev-secret-detection

Measures how well TypeSafe's RLCD-Jev model spots real secret credentials in file snippets.

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From the repository

Measures how well TypeSafe's RLCD-Jev model spots real secret credentials in file snippets

How builders describe it

A measurement harness that sends each file snippet to Jev as one Noul question asking whether the content contains a usable secret credential, then scores the returned probability against the expected label.

The decision Jev makes

Benchmark questions with known answers, to check accuracy and confidence.

Where it fits

Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →

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