Add evidence caveat, calibration/abstention (91% precision at 50% coverage) and improvement roadmap

Refresh results tables (mf-0.3/mf-0.4 rows, word+char TF-IDF)

Upgrade ensemble to word+char TF-IDF: line-item 0.686->0.702, section 0.613->0.620 (weights chosen on val)

Add transformer+TF-IDF ensemble (line-item top-1 0.597 -> 0.686) and document it in the card

Publish mf-0.2: completed GPU fine-tune (val 46.6%, 2.3x mf-0.1) + new model card with metrics/ONNX

Improve model card (SEO title, FAQ, citation, widgets) and add predict.py CLI, CITATION.cff, requirements.txt

Upload mf-0.1