{"id":"W3199261654","doi":"10.1002/cac2.12205","title":"Novel strategy for disease risk prediction incorporating predicted gene expression and DNA methylation data: a multi‐phased study of prostate cancer","year":2021,"lang":"en","type":"article","venue":"Cancer Communications","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Cancer Epidemiology and Genetics, National Cancer Institute; National Cancer Institute; National Institute on Aging; Swedish Cancer Foundation; Medical Research Council; Canadian Institutes of Health Research; Ovarian Cancer Research Fund; National Institutes of Health; National Heart, Lung, and Blood Institute; Vetenskapsrådet; National Health and Medical Research Council; Cancer Research UK; Wellcome Trust; European Commission; Breast Cancer Research Foundation; U.S. Department of Defense","keywords":"DNA methylation; Prostate cancer; Computational biology; Biobank; Bioinformatics; Computer science; Oncology; Medicine; Biology; Cancer; Internal medicine; Gene; Gene expression; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007864155,0.0009255899,0.001192858,0.0009437577,0.0004316445,0.0007186469,0.001258369,0.0007981266,0.0007489781],"category_scores_gemma":[0.00721061,0.0004626706,0.001741177,0.0008278287,0.0003259413,0.0005464113,0.001284416,0.001288783,0.0001537936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000474186,"about_ca_system_score_gemma":0.00110049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004222644,"about_ca_topic_score_gemma":0.004110466,"domain_scores_codex":[0.9983717,0.001049133,0.00006300092,0.0002930982,0.0001624184,0.00006076927],"domain_scores_gemma":[0.9967468,0.002007031,0.0002763586,0.0003518278,0.0004299853,0.00018793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003091956,0.001361194,0.3707751,0.0005944007,0.003831921,0.0007775291,0.000482952,0.3188903,0.03946892,0.002069869,0.004200382,0.2544554],"study_design_scores_gemma":[0.0003209038,0.001080815,0.04607281,0.00002807621,0.0007373942,0.000380631,0.0000773206,0.9418568,0.006188297,0.001876076,0.001337881,0.0000429899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8002216,0.001387145,0.1953637,0.0005670819,0.00005141794,0.0002897871,0.001046647,0.0004871835,0.0005854325],"genre_scores_gemma":[0.8538071,0.0002677838,0.1414416,0.0002520139,0.00005350182,0.0002623318,0.003380769,0.00009271028,0.0004420973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007864155,"threshold_uncertainty_score":0.04159015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09813911593421933,"score_gpt":0.3754635667036976,"score_spread":0.2773244507694783,"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."}}