feat(03-05): implement animal model evidence fetch and transform
- models.py: AnimalModelRecord with ortholog confidence, phenotype flags, and normalized scoring
- fetch.py: Retrieve orthologs from HCOP, phenotypes from MGI/ZFIN/IMPC with retry
- transform.py: Filter sensory/cilia-relevant phenotypes, score with confidence weighting
- Ortholog confidence: HIGH (8+ sources), MEDIUM (4-7), LOW (1-3)
- Scoring: mouse +0.4, zebrafish +0.3, IMPC +0.3, weighted by confidence
- NULL preservation: no ortholog = NULL score (not zero)
gbanyan
0e389c7e41