RP-19: Implement correlation scoring model#15
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…ons and confidence - Add ScoringStrategy ABC and WeightedProbabilisticScorer with strategy-weight attenuation (weighted = 1 - (1 - raw * weight)) and probabilistic union composite. - Add ConfidenceScorer combining composite (40%), diversity (30%), coverage (20%), and recency (10%) factors into a [0, 1] confidence score. - Add ScoringPipeline orchestrating BFS group detection, weighted scoring, and confidence computation in one flow. - Refactor CorrelationPipeline._merge_into_groups to delegate to ScoringPipeline. - Add confidence and contributions fields to CorrelationGroup for explainable output. - Unify ScoreContribution model (canonical in correlation/models, re-exported through scoring/models) to avoid Pydantic type mismatch. - Add 20 tests covering scorer, confidence factors, and pipeline integration. - All 250 tests pass; ruff and mypy clean.
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feat(correlation): weighted scoring model with explainable contributions and confidence