59a0a08d329fbcbefad4ec858cf8c6cc07014a36
TestLegacyBaseline builds a minimal but complete router (stage-0 grammars, hash-embedder classifier seeded from models/seeds, deployed confidence threshold) and runs it against the full 136-example corpus. Reports macro F1, false-action rate, fast-path/residual/router-residual accuracy, per-route P/R/F1, confusion matrix, and contrast family breakdown (negation, question, reported_speech, quotation, hypothetical, capability_question). Pre-route consumed cases are tracked separately from the fast-path bucket. The hash embedder is deterministic, so this baseline is reproducible. The ONNX embedder would score higher; measure both before drawing conclusions.
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