{"id":"W4362535022","doi":"10.1158/1538-7445.am2023-4256","title":"Abstract 4256: cBioPortal for Cancer Genomics","year":2023,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Colorectal cancer; Medicine; Citation; Cancer; Library science; World Wide Web; Computer science; Internal 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":[0.002728995,0.002157094,0.002614844,0.007839835,0.001130652,0.004498051,0.005408385,0.002216066,0.1486662],"category_scores_gemma":[0.009532569,0.001501695,0.00186885,0.01008964,0.0004306499,0.003190834,0.005270906,0.003431027,0.1600967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001545005,"about_ca_system_score_gemma":0.003025675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006543665,"about_ca_topic_score_gemma":0.007548799,"domain_scores_codex":[0.9982129,0.0003523731,0.0002054138,0.0004092322,0.0005780563,0.0002420177],"domain_scores_gemma":[0.9963846,0.0009812856,0.000254215,0.001084244,0.0007533243,0.0005423899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000100139,0.00001075361,0.0002847162,0.001023656,0.0000555395,0.00005740939,0.0000580823,0.0004084739,0.0007614538,0.002662855,0.9819798,0.01259702],"study_design_scores_gemma":[0.0001732082,0.00001571548,0.001056899,0.0003611824,0.00006952253,0.0001901807,0.00003246758,0.001949152,0.001559279,0.01005892,0.9844726,0.00006077381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0006760736,0.002168576,0.02142899,0.001119186,0.000474458,0.0002137257,0.8361252,0.1222178,0.01557607],"genre_scores_gemma":[0.003189881,0.0008440323,0.01815796,0.000673098,0.0001122034,0.0005518711,0.9487594,0.0236456,0.004065858],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1486662,"threshold_uncertainty_score":0.4973379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08255949436716035,"score_gpt":0.4239541059272706,"score_spread":0.3413946115601102,"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."}}