- DPPoolCandidate model (terme, section, preuve, score_initial) - build_dp_candidate_pool() with filters (_is_pool_excluded, _dedup_pool) - Pool exclusion: admin noise, bio values, vague symptoms, place names - DP_POOL_RANK template for LLM-based ranking among pool candidates - llm_dp_pool_rank() with guardrails (GF-1 evidence, GF-3 confidence) - benchmark_quality.py: --dp-candidates, --use-dp-pool-rank flags - 41 new tests (pool, exclusion, dedup, pool rank, synthese) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
62 KiB
62 KiB