{"id":"W3172515301","doi":"","title":"Identification of Candidate Ciliopathy Genes by Genome-wide Screening of Knockout Mice with Ocular and Renal Phenotypes","year":2020,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Genetic and Kidney Cyst Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Toronto Centre for Phenogenomics; Hospital for Sick Children","funders":"","keywords":"Ciliopathy; Phenotype; Identification (biology); Biology; Genetics; Gene; Computational biology","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":[0.000414264,0.0009234951,0.0007509653,0.001611666,0.0004039998,0.0003914333,0.0005974706,0.0007477247,0.002679487],"category_scores_gemma":[0.0004052026,0.0003928632,0.0009407059,0.0006605799,0.0004840829,0.0001539386,0.0003507466,0.0006676911,0.0004466329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002796996,"about_ca_system_score_gemma":0.0003259603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001299281,"about_ca_topic_score_gemma":0.003099768,"domain_scores_codex":[0.9996862,0.00003407949,0.00004196721,0.000090488,0.00008320015,0.00006406092],"domain_scores_gemma":[0.9995993,0.0001256649,0.0001525131,0.00002490635,0.00003023237,0.00006739242],"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":[0.0002231831,0.00005333629,0.001707627,0.00004478816,0.00005513086,0.0004224245,0.00002206062,0.0001777077,0.995439,0.0001604263,0.0001073554,0.001586916],"study_design_scores_gemma":[0.000300991,0.0006488003,0.09290729,0.0000512527,0.001009545,0.006282718,0.0001812144,0.005458916,0.8860708,0.000316856,0.006714382,0.00005708144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701321,0.001454313,0.020656,0.000233785,0.00005679951,0.0001851625,0.005357115,0.0005100706,0.001414728],"genre_scores_gemma":[0.968387,0.001346436,0.02085764,0.0002408983,0.00001762521,0.0002413046,0.005440147,0.0002337332,0.00323522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002679487,"threshold_uncertainty_score":0.008963823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147306184453029,"score_gpt":0.2685391521977138,"score_spread":0.2538085337524109,"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."}}