{"id":"W2795441251","doi":"10.1016/j.ccell.2018.03.014","title":"A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers","year":2018,"lang":"en","type":"article","venue":"Cancer Cell","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":700,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"National Cancer Institute; National Human Genome Research Institute","keywords":"Breast cancer; Biology; Somatic cell; Gene; Cancer research; Estrogen receptor; Oncology; Bioinformatics; Internal medicine; Medicine; Cancer; Genetics","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":[0.0003660767,0.0003077392,0.0004284377,0.001923285,0.000501143,0.00056794,0.0002813997,0.000247855,0.001910587],"category_scores_gemma":[0.0001790478,0.000243643,0.0003773268,0.001766413,0.0002373016,0.0004159499,0.0007016981,0.0005277173,0.0003266319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005792944,"about_ca_system_score_gemma":0.001072965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003883882,"about_ca_topic_score_gemma":0.01059993,"domain_scores_codex":[0.9998424,0.00001897942,0.000009870799,0.00004657256,0.00004530087,0.00003688717],"domain_scores_gemma":[0.9998564,0.00002399009,0.00002449262,0.0000292414,0.00003402377,0.00003202939],"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":[0.0003727252,0.00006846547,0.03748732,0.0005348539,0.0002756505,0.0007015539,0.0001981001,0.0007934291,0.871759,0.00191591,0.003159371,0.08273363],"study_design_scores_gemma":[0.0000467583,0.0003339705,0.6751851,0.0001493224,0.001135592,0.008380944,0.0006082219,0.001594606,0.1669999,0.002445877,0.1430839,0.0000358534],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8914922,0.06838655,0.01135961,0.001930369,0.00007422663,0.0001228613,0.01222872,0.0005009306,0.01390453],"genre_scores_gemma":[0.9428679,0.03162283,0.01331652,0.0006525593,0.00005579129,0.00005837039,0.007240471,0.00010861,0.004076915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003883882,"threshold_uncertainty_score":0.007722497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089832632483124,"score_gpt":0.2650938096934932,"score_spread":0.2541954833686619,"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."}}