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jev-eval

CMaintz/jev-eval

Measure and calibrate Jev on your labeled data, get confidence cut-points.

Automated README summary

Automatically summarized from the README on 10 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

jev-eval measures and calibrates TypeSafe AI's Jev on your own labeled data. It reports per-question accuracy, calibration (ECE, reliability table), risk-coverage, and recommends confidence cut-points for gating workflows.

How it uses Jev

Jev answers labeled questions (Choice, Noul, Score) on each row's state. jev-eval compares answers to gold labels, computes accuracy and calibration, then recommends confidence cut-points for auto-deciding confident cases and escalating the rest.

Primitives:choicescorenoul

Technique worth stealing

Bootstrap with out-of-bag scoring to honestly estimate gate accuracy and avoid optimistic same-rows bias.

Try it

export JEV_API_KEY=...; jev-eval run --data labeled.jsonl --config jev-eval.json --cache run.jsonl

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 material0.86
  • Shows a System One patternFound in material0.85
  • Describes handling uncertaintyFound in material0.84
  • Reports measured numbersnot found in the excerpt0.13
  • Is a runnable toolunclear0.40
  • Top-10 learning shortlist signalunclear0.58
  • Is a replica of the modelnot found in the excerpt0.04
  • Solves a common problem (0–2)score on a 0–2 scale1.07 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.86Shows a System One pattern0.85Describes handling uncertainty0.84Reports measured numbers0.13Is a runnable tool0.40Top-10 learning shortlist signal0.58Is a replica of the model0.0400.51Solves a common problem (0–2)1.07 / 2012

no-judgment band (0.40–0.60)

Design patterns
Flight recorder0.96Scorecard0.95Traffic light0.93Questionnaire0.88Funnel0.75Check-up0.59Fail open, fail closed0.5600.51

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 10 Oct 2026.