{"id":"W2911937558","doi":"10.1158/1055-9965.epi-18-1002","title":"A Comprehensive Analysis of Steroid Hormones and Progression of Localized High-Risk Prostate Cancer","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université Laval; Université de Sherbrooke; McGill University Health Centre; Centre hospitalier universitaire de Québec","funders":"Fonds de Recherche du Québec - Santé; Prostate Cancer Canada; Canadian Institutes of Health Research; Cancer Research Society","keywords":"Medicine; Prostate cancer; Internal medicine; Oncology; Prostatectomy; Biochemical recurrence; Metabolome; Testosterone (patch); Hazard ratio; Proportional hazards model; Cancer; Dehydroepiandrosterone; Dehydroepiandrosterone sulfate; Metastasis; Hormone; Endocrinology; Androgen; Confidence interval","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004841108,0.0001802065,0.000295475,0.0005881153,0.0001739742,0.0003267929,0.0001718129,0.0001507237,0.0008428447],"category_scores_gemma":[0.0007172601,0.00009821153,0.0003955161,0.001076143,0.0001094134,0.0001691094,0.0003128344,0.000252261,0.0001271577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001737425,"about_ca_system_score_gemma":0.0003335213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00306846,"about_ca_topic_score_gemma":0.0049476,"domain_scores_codex":[0.9997974,0.00004941234,0.00001711453,0.00005265648,0.0000599671,0.0000233789],"domain_scores_gemma":[0.9992858,0.0001070979,0.0003241374,0.00007310512,0.00009348467,0.0001164246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001885941,0.00001902183,0.9939815,0.00003319225,0.0001940981,0.00004308516,0.00002145965,0.00008391975,0.0009254072,0.00001087319,0.0001037871,0.004394898],"study_design_scores_gemma":[0.000003173876,0.00006404553,0.9994259,0.000003212091,0.00004669442,0.0001017392,0.00001755431,0.00007889462,0.00009066213,0.000007809889,0.000158925,0.000001427743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997053,0.001357684,0.0001626659,0.00004208393,0.000002969825,0.000007258187,0.001105769,0.000009294818,0.0002592334],"genre_scores_gemma":[0.9989064,0.000215213,0.0001013457,0.00001346223,0.000006379864,0.000003063867,0.0006646168,0.000001192407,0.00008829889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00306846,"threshold_uncertainty_score":0.006101191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04032777789435959,"score_gpt":0.4037452959308506,"score_spread":0.363417518036491,"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."}}