Adds a rules-based device category router that classifies a signal by
frequency band + timing ratio + pulse count BEFORE the per-protocol
scoring loop, restricting the candidate set. This fixes the "everything
matches a weather sensor with 69-76% false confidence" problem.
- src/matcher/category_router.py: frequency-band + timing routing
- pattern_decoder.py: category filter, category-mismatch penalty,
post-match spread penalty (surfaces low-discrimination cases)
- protocol_database.py: garage door / doorbell / fan controller entries
- scripts/benchmark_phase0.py: real-world-shaped benchmark
Benchmark gate: top-3 accuracy 0% -> 67% (target >=30%). 52/52 unit
tests pass. NOTE: benchmark .sub files are synthetic-from-DB-params,
so 67% is an upper bound pending real Flipper capture validation.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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