{"id":"W2767006510","doi":"10.1111/dme.13536","title":"Risk of prostate cancer across different racial/ethnic groups in men with diabetes: a retrospective cohort study","year":2017,"lang":"en","type":"article","venue":"Diabetic Medicine","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Hazard ratio; Prostate cancer; Diabetes mellitus; Incidence (geometry); Cohort; Ethnic group; Proportional hazards model; Cancer; Demography; Cohort study; Retrospective cohort study; Internal medicine; Gynecology; Gerontology; Confidence interval; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007889979,0.0002964213,0.0003884405,0.0008098512,0.0008956019,0.0008194303,0.0004370964,0.0004201889,0.0008454927],"category_scores_gemma":[0.001278273,0.0005539606,0.000645168,0.001842636,0.0002413034,0.00043257,0.0004793646,0.0007020131,0.0001921291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005245111,"about_ca_system_score_gemma":0.0005757723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05373256,"about_ca_topic_score_gemma":0.07184712,"domain_scores_codex":[0.9993427,0.0001125706,0.00007105999,0.0002142862,0.000138995,0.0001203986],"domain_scores_gemma":[0.9990959,0.00005490529,0.0003975132,0.0001222881,0.0001538043,0.0001755742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003913308,0.0000132028,0.9993488,0.000004340794,0.00007998769,0.0000275735,0.0000274677,0.00001077011,0.00004209118,0.000005214878,0.00005851249,0.0003429156],"study_design_scores_gemma":[0.000007528733,0.00003755212,0.9992647,0.000007403441,0.000069719,0.0001938882,0.000115254,0.00008020943,0.00002169525,0.00001144935,0.0001864487,0.000004109032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971067,0.0008301182,0.0001613261,0.000053246,0.00001426958,0.00001715712,0.001377548,0.000005979393,0.0004337843],"genre_scores_gemma":[0.9986526,0.0003217298,0.0001370745,0.00005410975,0.00001147487,0.00001226925,0.0006267641,0.000002412291,0.0001816539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05373256,"threshold_uncertainty_score":0.1068396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017208936110573,"score_gpt":0.2968390626911978,"score_spread":0.2866669733300921,"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."}}