Automated README summary
Automatically summarized from the README on 29 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
An experiment that asks Jev (TypeSafe AI's decision model) probability questions with exactly known true answers, to measure calibration and base-rate neglect. For researchers and developers evaluating Jev's probabilistic reasoning.
How it uses Jev
Jev is queried via OpenRouter with 417 probability questions × 5 attempts. The returned probabilities are used to estimate weights on prior log-odds and log likelihood ratio, testing preregistered hypotheses about base-rate neglect and shrinkage toward 0.5.
Primitives:choicenoul
Technique worth stealing
Using hidden fair draws and Bayes-rule screening problems to obtain exact ground-truth probabilities for calibration testing.
Try it
uv sync; uv run pytest -q; uv run python -m jev_bayes.analyze; uv run python -m jev_bayes.figures
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 material0.69
- Shows a System One patternnot found in the excerpt0.27
- Describes handling uncertaintynot found in the excerpt0.04
- Reports measured numbersFound in material0.77
- Is a runnable toolnot found in the excerpt0.05
- Top-10 learning shortlist signalnot found in the excerpt0.33
- Is a replica of the modelnot found in the excerpt0.03
- Solves a common problem (0–2)score on a 0–2 scale0.83 / 2
- About JevFound in material0.99
no-judgment band (0.40–0.60)
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 29 Sept 2026.