{"id":"W4310702752","doi":"10.1038/s41598-022-19710-7","title":"Analysis of genome-wide knockout mouse database identifies candidate ciliopathy genes","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Genetic and Kidney Cyst Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Toronto Centre for Phenogenomics; Lunenfeld-Tanenbaum Research Institute; SickKids Foundation; Mount Sinai Hospital","funders":"National Eye Institute; National Human Genome Research Institute; National Institutes of Health","keywords":"Ciliopathy; Ciliopathies; Biology; Cilium; Phenotype; Gene; Genetics; Candidate gene; Gene knockout; Ciliogenesis; Knockout mouse; 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":[0.0009442304,0.0009194267,0.001365573,0.007031081,0.0005495593,0.0006962877,0.0009184132,0.0005428055,0.003251991],"category_scores_gemma":[0.0009788899,0.0003444221,0.0007385581,0.003666695,0.0001683139,0.0002762143,0.0007458786,0.0005614809,0.001663939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003161001,"about_ca_system_score_gemma":0.0005671059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007638191,"about_ca_topic_score_gemma":0.001573612,"domain_scores_codex":[0.9992529,0.0000753729,0.0001552668,0.0002105379,0.0002299258,0.00007606351],"domain_scores_gemma":[0.9988619,0.0002780589,0.0003499194,0.0001571928,0.0001615055,0.0001913893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004219955,0.0004987043,0.07833323,0.003770793,0.0009586929,0.005415428,0.0003372455,0.001771288,0.8140565,0.001607715,0.0250511,0.0639794],"study_design_scores_gemma":[0.000731962,0.001478494,0.5603113,0.0003879037,0.002022357,0.01805627,0.0002711736,0.01464038,0.2584887,0.001638263,0.1417595,0.0002137557],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5575324,0.003928486,0.01770181,0.0001941873,0.00006374601,0.000299596,0.4084222,0.007977403,0.003880158],"genre_scores_gemma":[0.1819855,0.001976432,0.03453355,0.0001884673,0.00002428521,0.0006377384,0.778422,0.0005859432,0.001646055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007031081,"threshold_uncertainty_score":0.01087904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008085495965288963,"score_gpt":0.2345961870135899,"score_spread":0.2265106910483009,"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."}}