feat(frontend): AI Assistant tab — natural-language explainer

feat(api): POST /explain/bbb — natural-language rationale endpoint

feat(llm): explainer with deterministic template + OpenRouter fallback

fix(schemas): silence Pydantic protected-namespace warning on ModelProvenance

feat(api+frontend): MLflow provenance badge in decision card

feat(frontend): drift metric line + last-prediction session state

feat(api): drift z-score in /predict/bbb response

feat(models): train-time confidence stats stashed on _neurobridge_train_stats

feat(frontend): MRI tab — Pre/Post ComBat KDE + site-gap KPI strip

feat(api): POST /pipeline/mri/diagnostics — pre/post ComBat KPIs + long-format rows

feat(pipelines): compute_harmonization_diagnostics — long-format pre/post ComBat for viz

feat(frontend): trust caption — precision-at-confidence below decision card

feat(api): expose calibration bin in /predict/bbb response

feat(models): calibration metadata — precision-at-threshold bins on _neurobridge_calibration

feat(frontend): edge-case dropdown for BBB robustness demo

docs: Day-5 close-out — AGENTS §8 decision layer + trainer CLI

feat(frontend): interactive BBB tab — SMILES input + decision card + SHAP bars

feat(api): POST /predict/bbb with prediction, uncertainty, SHAP top-k

feat(models): SHAP top-k explainer for BBB predictions

feat(models): BBB classifier with predict_with_proba uncertainty

feat(frontend): Streamlit dashboard with 3 modality tabs

feat(api): POST /pipeline/{bbb,eeg,mri} dispatch routes

feat(api): scaffold FastAPI app + /health + shared Pydantic schemas

feat(mri): log run params, metrics, and parquet artifact to MLflow

feat(eeg): log run params, metrics, and parquet artifact to MLflow

feat(bbb): log run params, metrics, and parquet artifact to MLflow

feat(core): add MLflow tracking helper with disable env-flag

refactor(bbb): align pin_threads() comment with EEG/MRI sibling files

refactor(mri): use core.determinism + core.storage helpers

refactor(eeg): use core.determinism + core.storage helpers

refactor(bbb): use core.determinism + core.storage helpers

feat(core): extract write_parquet() helper for §6 storage contract

feat(core): extract pin_threads() helper for determinism

docs: fix README cross-references; type _StatFn as a real Callable alias

fix(mri): handle all-constant features; tighten variance threshold; reorder log

feat(mri): add run_pipeline orchestrator + CLI (NIfTI dir → ComBat Parquet)

fix(mri): pin ComBat transitive deps; clarify np.round(14) intent; guard inputs

feat(mri): add harmonize_combat wrapper around neuroHarmonize.harmonizationLearn

refactor(mri): bind ROI_STATS to callables; guard volume/mask shape mismatch

feat(mri): add extract_features_from_volume (8 ROI octants × 6 stats)

fix(mri): warn on all-False mask; document 6-connectivity erosion caveat

feat(mri): add mask_brain (intensity threshold + morphological opening)

feat(mri): add is_valid_volume guard for NaN/inf/shape/dtype on 3-D arrays

refactor: pin single-threaded determinism env; close Day-2 doc/typo gaps

docs(eeg): correct float64 dtype claim; tighten test match; clarify CLI default

feat(eeg): add run_pipeline orchestrator + CLI (FIF/EDF → Parquet)

fix(eeg): NaN-clean features for flat channels; guard zero-size epochs; assert WARNING

fix(eeg): validate epochs after filter to guarantee no NaN in feature table

feat(eeg): flatten 3D epochs into deterministic 2D feat_<ch>_<band|stat> table

refactor(eeg): bind STATS labels to callables; document moment conventions