{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006529105,0.0001947481,0.0001119533,0.00001078898,0.000338396,0.0002605387,0.001059786,0.0002086897,0.000009051701],"category_scores_gemma":[0.00007541658,0.000150998,0.0001066328,0.00001588143,0.0001514941,0.0000095855,0.0004587548,0.0002822965,0.0000091076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001253569,"about_ca_system_score_gemma":0.00008702456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001301616,"about_ca_topic_score_gemma":0.00002138504,"domain_scores_codex":[0.9989189,0.00001571458,0.0001645561,0.0004076099,0.0002564678,0.0002367584],"domain_scores_gemma":[0.9985555,0.000009478359,0.0001447757,0.001069569,0.00009686879,0.0001237754],"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":[0.0001532219,0.0000993091,0.01061555,0.000006936169,0.0001278108,0.000001720352,0.00003485133,0.00744019,0.9441037,0.00008481269,0.03506828,0.00226367],"study_design_scores_gemma":[0.0007880318,0.00004620248,0.0135625,0.00001328481,0.00007729383,0.000001210222,0.00001354843,0.05092521,0.8513579,0.001883372,0.08083639,0.0004950908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889597,0.003961558,0.003376235,0.0009583561,0.0007408352,0.000142782,0.0009401904,0.000008412554,0.0009119666],"genre_scores_gemma":[0.9922888,0.0009622733,0.0007007548,0.001464879,0.001180634,0.00001470798,0.0004508669,0.00003146019,0.00290561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09274578,"threshold_uncertainty_score":0.6157519,"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."}}