RESEARCH SERIES 17 · MODEL RELEASE GOVERNANCE

EvalFlow CI Lab

A reproducible release-replay workspace for multilingual NLP. Compare baseline and candidate classifiers, surface paired regressions, evaluate transparent quality gates, and export the full decision trail.

EN · ES · PTFIXED BENCHMARKLOCAL EXECUTIONREPRODUCIBLE CI

RESEARCH EVIDENCE

4,416Prediction records

4Classifiers

6Stress conditions

2Held-out splits

Synthetic-curated dataset · Not a production certification

EXPERIMENT CONFIGURATIONLOADING SNAPSHOT

Baseline method Candidate method Evaluation split

A “candidate” means a different fixed classifier on identical held-out examples, not a historical or newly trained model version. Manual browser replays do not trigger real CI.

EVIDENCE / EXPLANATION / ACTION

Command center

Loading fixed evaluation evidence…