{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003766263,0.0001683919,0.000209882,0.00002186171,0.00006250454,0.00001425774,0.0001533625,0.00008998819,0.0001270533],"category_scores_gemma":[0.000008283264,0.0001646906,0.0000450474,0.00008032706,0.0001794803,0.000002921342,0.000161222,0.00005425997,0.000002310416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007849337,"about_ca_system_score_gemma":0.0002143537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003103306,"about_ca_topic_score_gemma":0.003312497,"domain_scores_codex":[0.9990657,0.00003093498,0.0001873831,0.0003924882,0.00009624226,0.0002272715],"domain_scores_gemma":[0.9992487,0.00001798027,0.0001220627,0.00029978,0.000226711,0.00008474286],"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":[0.0003216722,0.0003099628,0.03334202,0.00009790263,0.000227695,0.000009807609,0.0006467908,0.000487837,0.9420424,0.0000272367,0.004309166,0.01817752],"study_design_scores_gemma":[0.00727463,0.005709447,0.1102318,0.00007372992,0.0004014925,0.00001982715,0.004321286,0.0002825086,0.7695985,0.0001224664,0.1008007,0.001163543],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983705,0.0142086,0.00005506302,0.00004736892,0.0003671098,0.0003559882,0.0001472828,0.000006224688,0.001107366],"genre_scores_gemma":[0.9935886,0.005229099,0.00007486573,0.0005360208,0.0002922562,0.0001171642,0.00001082416,0.0000246433,0.0001264737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1724438,"threshold_uncertainty_score":0.6715887,"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."}}