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jev-baselines-eval

ickma2311/jev-baselines-eval

Pre-registered independent eval of Jev vs LLM and encoder baselines.

Evaluation & Benchmarking0.63Runner-up: Classification & RoutingFunnelCheck-up
Automated README summary

Automatically summarized from the README on 25 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

An independent, pre-registered evaluation of TypeSafe's Jev on intent classification and confidence-gated cascades, comparing it to a nano-class LLM, a frontier LLM, and a supervised encoder on Banking77 and CLINC150 zero-shot.

How it uses Jev

Jev is used as a zero-shot intent classifier and as the first stage of a confidence-gated cascade. Its confidence scores decide whether to escalate to a frontier LLM. The README does not specify the exact API call or state representation.

Technique worth stealing

Pre-registered evaluation with paired confidence intervals and threshold-margin sensitivity analysis.

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 material0.71
  • Shows a System One patternFound in material0.65
  • Describes handling uncertaintynot found in the excerpt0.14
  • Reports measured numbersFound in material0.71
  • Is a runnable toolnot found in the excerpt0.05
  • Top-10 learning shortlist signalnot found in the excerpt0.25
  • Is a replica of the modelnot found in the excerpt0.04
  • Solves a common problem (0–2)score on a 0–2 scale1.58 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.71Shows a System One pattern0.65Describes handling uncertainty0.14Reports measured numbers0.71Is a runnable tool0.05Top-10 learning shortlist signal0.25Is a replica of the model0.0400.51Solves a common problem (0–2)1.58 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.96Check-up0.75Fail open, fail closed0.43Traffic light0.42Blind review0.39Grey zone0.2000.51

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 25 Sept 2026.