{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002542915,0.0001146514,0.0001326635,0.00003556514,0.0002580156,0.00002858025,0.0002720234,0.00006914599,0.000002889406],"category_scores_gemma":[0.0001969026,0.0001180033,0.00002703118,0.0001413347,0.00006995581,0.00002128327,0.0002951846,0.00008464894,4.233651e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002059786,"about_ca_system_score_gemma":0.0002876069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002460729,"about_ca_topic_score_gemma":0.001141961,"domain_scores_codex":[0.9989067,0.0001663246,0.0003479129,0.0003695991,0.0001059415,0.0001035751],"domain_scores_gemma":[0.9977268,0.00005340251,0.0003354399,0.001368706,0.0004353536,0.00008031403],"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":[0.00008744931,0.0004765093,0.05157971,0.00003975354,0.00007878984,8.028337e-8,0.0002692527,0.00373748,0.9373682,0.000005017114,0.00002019175,0.006337563],"study_design_scores_gemma":[0.005527282,0.0004050984,0.1869483,0.0001200534,0.0004920212,4.312592e-7,0.001138846,0.07440856,0.7282852,0.0001679282,0.002188127,0.0003181931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9254925,0.01511828,0.05314843,0.00009766092,0.00007681948,0.0008842071,0.005157365,0.00001390292,0.00001085842],"genre_scores_gemma":[0.9760715,0.006229301,0.01293327,0.00000937694,0.00007594482,0.0005765248,0.004039766,0.00002117531,0.00004314057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.209083,"threshold_uncertainty_score":0.4812034,"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."}}