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Every 50 entries in training_queue, the categoriser retrains in the
background: merges base CSV with all corrections, scores old vs new
model on both a held-out base test set and the correction set, and
only hot-swaps if the weighted combined accuracy improves. Rolls back
silently if not. GET /model-stats exposes before/after accuracy and
the retrain result.