{"id":"W4409624560","doi":"10.1158/1538-7445.am2025-1117","title":"Abstract 1117: cBioPortal for cancer genomics","year":2025,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Cancer; Genomics; Medicine; Biology; Genetics; Internal medicine; Genome; Gene","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":[0.0002091145,0.00007791024,0.00008215024,0.00005303551,0.0001877125,0.00002333135,0.0001998023,0.0001035675,0.00002003207],"category_scores_gemma":[0.00003890751,0.00007548586,0.00005824743,0.0001462383,0.0001281179,0.000001872639,0.0001005927,0.0001238484,0.000002195598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007757176,"about_ca_system_score_gemma":0.0003469599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001462592,"about_ca_topic_score_gemma":0.0002112552,"domain_scores_codex":[0.9991876,0.000009832736,0.0001231108,0.00030821,0.00008476299,0.0002864866],"domain_scores_gemma":[0.9993468,0.00001791762,0.00002794925,0.0003033711,0.0002565769,0.00004738834],"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":[0.00005749065,0.00002236805,0.0001507228,0.00003246765,0.00002384521,3.452496e-7,0.000005462475,0.0000291346,0.9448265,0.001179685,0.02340216,0.03026976],"study_design_scores_gemma":[0.0001229732,0.00002273072,0.00035075,0.00002317021,0.000003484288,2.66194e-7,0.00001870324,0.00001871409,0.5504752,0.001324668,0.4475763,0.00006310442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676862,0.005554132,0.01705175,0.004414299,0.0002284765,0.001258974,0.0003153423,0.00005180017,0.003439062],"genre_scores_gemma":[0.9875917,0.003302031,0.002952837,0.0003165134,0.0003165751,0.000937234,0.0000685128,0.0000210818,0.004493468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4241741,"threshold_uncertainty_score":0.3078224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06044568255684692,"score_gpt":0.4697242197435325,"score_spread":0.4092785371866856,"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."}}