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jev-cite-check

simonsez9510/jev-cite-check

Jev gate checks whether AI answers are grounded in cited ordinance articles.

Verification & Guardrails0.78Runner-up: Evaluation & BenchmarkingBlind review
Automated README summary

Automatically summarized from the README on 20 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A reproducibility package for an experiment that asks Jev (TypeSafe AI System One) to judge whether an AI-generated sentence about a local ordinance is actually grounded in the article it cites. For researchers testing a separate scoring gate on generated answers.

How it uses Jev

For each of 120 (article, answer) pairs, run.mjs asks Jev a Choice{지지/모순/무관} plus a Boolean{does the answer hold on the cited article alone}. The Boolean probability is read as 'grounded'; results are aggregated per pair and printed.

Primitives:choicescore

Technique worth stealing

Treat Jev's Boolean probability as a gate: below 0.5 routed to human review, above passed.

Try it

npm install, set AI_GATEWAY_API_KEY, then node --env-file=.env run.mjs (or run.mjs dataset100.json result100.json).

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 material0.94
  • Shows a System One patternFound in material0.70
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersFound in material0.98
  • Is a runnable toolnot found in the excerpt0.11
  • Top-10 learning shortlist signalunclear0.53
  • Is a replica of the modelnot found in the excerpt0.06
  • Solves a common problem (0–2)score on a 0–2 scale1.10 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.94Shows a System One pattern0.70Describes handling uncertainty0.05Reports measured numbers0.98Is a runnable tool0.11Top-10 learning shortlist signal0.53Is a replica of the model0.0600.51Solves a common problem (0–2)1.10 / 2012

no-judgment band (0.40–0.60)

Design patterns
Blind review0.79Fail open, fail closed0.55Flight recorder0.31Scorecard0.28Grey zone0.27Funnel0.23Question bank0.2100.51

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 20 Sept 2026.