{"id":"W2897981610","doi":"10.1158/1055-9965.epi-18-0079","title":"Circulating Metabolic Biomarkers of Screen-Detected Prostate Cancer in the ProtecT Study","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Cancer Foundation; University of Alberta; Princess Margaret Cancer Centre","funders":"National Heart, Lung, and Blood Institute; Medical Research Council; National Cancer Institute; Seventh Framework Programme; Novo Nordisk Fonden; Cancer Research UK; Academy of Finland; University of Bristol; National Institute for Health and Care Research; National Institutes of Health; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; European Commission; Cancer Research Institute; Royal Marsden NHS Foundation Trust; National Cancer Research Institute; Wellcome Trust; Wellcome","keywords":"Prostate cancer; Medicine; Oncology; Cancer; Internal medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004037768,0.0003340604,0.000612611,0.0001967711,0.0001680878,0.00001091542,0.0004525758,0.0002760066,0.00008224224],"category_scores_gemma":[0.0006426515,0.0002616567,0.0002632504,0.0005760668,0.0005323756,0.00001820719,0.0001287926,0.000193404,0.000003152345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005347412,"about_ca_system_score_gemma":0.0002963766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003632288,"about_ca_topic_score_gemma":0.007567929,"domain_scores_codex":[0.9952567,0.002183144,0.0009631561,0.0008066597,0.000181734,0.000608589],"domain_scores_gemma":[0.9982308,0.0001162674,0.0006695034,0.0006763522,0.000223896,0.00008323615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001804533,0.0004039931,0.5349047,0.00009748436,0.001882287,7.09518e-7,0.001146514,0.00009711818,0.3311749,0.00007991697,0.0093589,0.119049],"study_design_scores_gemma":[0.003484902,0.0009508386,0.937779,0.0002097094,0.0004106793,0.0000150981,0.001239322,0.0002787619,0.00946914,0.000740241,0.04488562,0.0005366763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638216,0.02785419,0.0007818417,0.0006697669,0.003880994,0.002712717,0.00008896508,0.00002711428,0.0001628335],"genre_scores_gemma":[0.991477,0.002117753,0.0005518933,0.0002858518,0.003922942,0.001368184,0.00008606377,0.00004141479,0.0001489432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4028743,"threshold_uncertainty_score":0.9999835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03597330863433082,"score_gpt":0.3558169704011926,"score_spread":0.3198436617668619,"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."}}