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jevbench

GautamTalksDev/jevbench · Homepage

Preregistered calibration test of Jev under human disagreement.

Calibration & Research0.96Runner-up: Evaluation & BenchmarkingFlight recorder
Automated README summary

Automatically summarized from the README on 30 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A preregistered study testing whether TypeSafe AI's Jev lowers confidence on items where humans disagree. It uses ChaosNLI, comparing calibration on low- and high-disagreement items, and publishes aggregate results.

How it uses Jev

Jev answers Choice and Noul questions on ChaosNLI items. Choice probabilities are scored against the share of 100 annotators who chose the model's top label. Noul probabilities are normalised and scored similarly. Results are used to compute ECE and ΔECE between easy and hard strata.

Primitives:choicenoul

Technique worth stealing

Bias-corrected ECE via consistency resampling with Beta-Binomial annotator sampling.

Try it

make install; make reproduce; make check-repro

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.88
  • Shows a System One patternnot found in the excerpt0.12
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersFound in material0.65
  • Is a runnable toolnot found in the excerpt0.05
  • Top-10 learning shortlist signalnot found in the excerpt0.19
  • Is a replica of the modelnot found in the excerpt0.06
  • Solves a common problem (0–2)score on a 0–2 scale1.19 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.88Shows a System One pattern0.12Describes handling uncertainty0.04Reports measured numbers0.65Is a runnable tool0.05Top-10 learning shortlist signal0.19Is a replica of the model0.0600.51Solves a common problem (0–2)1.19 / 2012

no-judgment band (0.40–0.60)

Design patterns
Flight recorder0.84Check-up0.2000.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 30 Sept 2026.