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-xray is a Python tool for developers using Jev decision models. It explains which parts of the input state caused a calibrated probability by ablating segments and re-asking the same question.
How it uses Jev
Jev answers a typed question (Choice/Score/Noul) on a state, returning a calibrated probability. jev-xray segments the state, ablates each segment (delete or mask), re-asks the identical question, and records the signed change in the probability to attribute the decision.
Primitives:choicescorenoul
Technique worth stealing
Occlusion attribution with Shapley values to handle redundant and complementary evidence, using the fixed answer axis and calibrated probabilities.
Try it
pip install jev-xray; jev-xray demo
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 material0.90
- Shows a System One patternnot found in the excerpt0.15
- Describes handling uncertaintynot found in the excerpt0.05
- Reports measured numbersnot found in the excerpt0.22
- Is a runnable toolunclear0.56
- Top-10 learning shortlist signalnot found in the excerpt0.25
- Is a replica of the modelnot found in the excerpt0.06
- Solves a common problem (0–2)score on a 0–2 scale1.04 / 2
- About JevFound in material0.98
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 10 Oct 2026.