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.
claude