{"id":"W1026490568","doi":"","title":"A Functional Candidate Approach for Identification of Potential Maculopathic Disease Genes","year":2007,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Identification (biology); Computational biology; Disease; Biology; Gene; Candidate gene; Genetics; Medicine; Internal medicine; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005545235,0.001060654,0.0008006846,0.002632455,0.0009063584,0.0007523749,0.0009547736,0.0008810171,0.008737203],"category_scores_gemma":[0.0006453813,0.000297142,0.001336331,0.0005658565,0.0004907741,0.0004135157,0.0004666681,0.0008557897,0.001666042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003809547,"about_ca_system_score_gemma":0.0005790866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008019078,"about_ca_topic_score_gemma":0.0009454439,"domain_scores_codex":[0.9997997,0.00005080799,0.00001986473,0.00006044338,0.00003748966,0.00003159307],"domain_scores_gemma":[0.9996314,0.0001649509,0.00003582981,0.00003889486,0.0000749633,0.00005386474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009381294,0.0001676207,0.00235163,0.0001810971,0.00006666995,0.002053233,0.00006073414,0.0005502045,0.9747458,0.005159791,0.0004424402,0.0132827],"study_design_scores_gemma":[0.00069716,0.002109704,0.02619473,0.00008070471,0.001015462,0.01512576,0.0006022698,0.02349041,0.8887194,0.006487861,0.03538417,0.00009246577],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7443783,0.00217948,0.2319456,0.001581745,0.0003091016,0.0006267387,0.004046668,0.0008477308,0.0140847],"genre_scores_gemma":[0.8716924,0.0008828876,0.1103427,0.0005192031,0.00008913177,0.0004618593,0.004656786,0.0001411954,0.01121389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008737203,"threshold_uncertainty_score":0.02922887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02386173758990649,"score_gpt":0.3088571550966405,"score_spread":0.284995417506734,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}