{"id":"W2705861159","doi":"10.1038/ng.3901","title":"Disease model discovery from 3,328 gene knockouts by The International Mouse Phenotyping Consortium","year":2017,"lang":"en","type":"article","venue":"Nature Genetics","topic":"Genetics and Physical Performance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":268,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; Toronto Centre for Phenogenomics","funders":"National Cancer Institute; National Human Genome Research Institute; National Institutes of Health; Agence Nationale de la Recherche; Wellcome Trust","keywords":"Biology; Phenome; Computational biology; Genetics; Gene; Phenotype; Genome; OMIM : Online Mendelian Inheritance in Man; Gene knockout; Human genome; Disease; Medicine","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":[0.004013285,0.0009822606,0.001145452,0.003047983,0.0004851295,0.001089485,0.0008432037,0.0006047492,0.00245309],"category_scores_gemma":[0.003535764,0.0005797131,0.001592382,0.001367747,0.0002297436,0.0004296657,0.001069747,0.00110655,0.0007416338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00070007,"about_ca_system_score_gemma":0.001625433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002540826,"about_ca_topic_score_gemma":0.006345884,"domain_scores_codex":[0.9988276,0.0002717034,0.0001008029,0.0002483891,0.0004589942,0.00009237177],"domain_scores_gemma":[0.9979007,0.0007408441,0.0002505609,0.000525891,0.0003670302,0.0002150736],"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":[0.00272316,0.0004015551,0.07196962,0.001028687,0.002012664,0.001765089,0.0002104658,0.02127744,0.5311916,0.00836775,0.06223912,0.2968129],"study_design_scores_gemma":[0.001675794,0.001409025,0.2704443,0.0009328814,0.00594712,0.005244026,0.0002917821,0.1313751,0.2591034,0.03498897,0.2881761,0.0004113994],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6169189,0.01244585,0.2332679,0.004275409,0.0005114075,0.000472852,0.112572,0.006781409,0.01275423],"genre_scores_gemma":[0.525886,0.008881526,0.2453842,0.001160989,0.0001900019,0.0005797376,0.2097297,0.001843831,0.006344048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004013285,"threshold_uncertainty_score":0.02122456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008547893132521422,"score_gpt":0.2539222884389956,"score_spread":0.2453743953064742,"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."}}