{"id":"W2336130565","doi":"10.1158/0008-5472.can-15-2980","title":"Cross-Cancer Genome-Wide Analysis of Lung, Ovary, Breast, Prostate, and Colorectal Cancer Reveals Novel Pleiotropic Associations","year":2016,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; Institut universitaire de cardiologie et de pneumologie de Québec; Memorial University of Newfoundland; Ontario Institute for Cancer Research; Lunenfeld-Tanenbaum Research Institute","funders":"National Center for Advancing Translational Sciences; National Cancer Institute; Cancer Research UK; National Institutes of Health; Francis Crick Institute; World Health Organization","keywords":"Colorectal cancer; Cancer; Prostate; Ovary; Oncology; Medicine; Breast cancer; Lung; Internal medicine; Biology","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":[0.000449681,0.0001710438,0.0003441501,0.0002437682,0.0001809421,0.000064355,0.0002755138,0.0001680271,0.0003585827],"category_scores_gemma":[0.0002336976,0.0001392054,0.0001340929,0.0006969135,0.000393324,0.00001187371,0.000294436,0.0001399875,0.000001926224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003502319,"about_ca_system_score_gemma":0.0007126971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002739551,"about_ca_topic_score_gemma":0.003663413,"domain_scores_codex":[0.9981143,0.00006961106,0.0003417996,0.0005649952,0.0003617386,0.0005475198],"domain_scores_gemma":[0.9983981,0.0001823641,0.000163438,0.0003400725,0.0007365698,0.0001794281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001395043,0.0000445776,0.5178437,0.00002758008,0.0007545662,7.926423e-7,0.00006174574,0.0002010957,0.478332,0.00006570313,0.001357329,0.001171419],"study_design_scores_gemma":[0.001027542,0.0001116357,0.940837,0.00004191643,0.0002131474,0.000001061116,0.00001387769,0.00005076839,0.04970484,0.00006638919,0.007710943,0.0002208552],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834431,0.007444159,0.0002107765,0.001179371,0.0001269145,0.0004113542,0.00702946,0.000007254802,0.0001475518],"genre_scores_gemma":[0.9802019,0.01685585,0.00005115354,0.0001243526,0.0003382192,0.0005121199,0.0001196754,0.00003502207,0.001761675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4286272,"threshold_uncertainty_score":0.5676633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02575789161895091,"score_gpt":0.3718098753734756,"score_spread":0.3460519837545247,"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."}}