MODEL_CARD.md

Research model card · Observatory of baseline classifiers

Models

• Multinomial Naive Bayes (token-count-based deterministic baseline)
• Word TF-IDF centroid
• Character TF-IDF centroid
• Hybrid Word/Character TF-IDF centroid

These four research baselines are trained by source_modelops_engine.js on 842 synthetic-curated sentences. The current dashboard reads their precomputed predictions and does not train models when the page loads. The supplied regeneration script performs the same deterministic training in Node.js.

Intended use

Educational demonstrations of model evaluation, performance shifts, error analysis, reproducible benchmarking and model-governance documentation. Suitable as a portfolio research tool.

Not intended for

Real-world document assessment, personnel or education decisions, deployment certification, bias/fairness conclusions, real-time monitoring, or unverified inferential claims about unseen scientific corpora.

Test results

See README.md and evaluation_snapshots.json. Report results by split and sample size. Controlled IID metrics should not be substituted for challenge performance.

Model limitations

Synthetic-curated data, template structure, possible annotation shortcuts, 54-case challenge size, narrow task design, and no systematic external domain transfer validation within this project. Probability calibration is not established. The dashboard shows accuracy and macro-F1, not calibrated confidence.