{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009383766,0.0003204428,0.0008600138,0.00005611879,0.0001641273,0.00002013108,0.0004371514,0.0001194372,0.00008002418],"category_scores_gemma":[0.0004102567,0.0002166726,0.00006520728,0.0001150895,0.0005649799,0.000009977072,0.0001687608,0.0002344588,0.00000165809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005896373,"about_ca_system_score_gemma":0.00006505886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005294132,"about_ca_topic_score_gemma":0.002610999,"domain_scores_codex":[0.997719,0.0001727524,0.0004481323,0.0006467117,0.0004594075,0.0005539298],"domain_scores_gemma":[0.9980063,0.00002729567,0.0005345242,0.001081205,0.0002023547,0.0001483503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000144923,0.0002484627,0.975351,0.00005753608,0.0003421127,0.000003335585,0.002426236,0.000007798243,0.004739806,0.000004966419,0.0002115594,0.01646222],"study_design_scores_gemma":[0.004757213,0.001184948,0.9785203,0.0001843301,0.0002377956,1.458349e-7,0.0008355842,0.00003829576,0.01333521,0.00009250238,0.0005573272,0.0002563208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539293,0.04399982,0.000007709295,0.00005243747,0.000265269,0.001245475,0.00009480612,0.000009173696,0.0003960222],"genre_scores_gemma":[0.9805131,0.0180687,0.00000750023,0.00009497428,0.0003999579,0.000595454,0.00004248305,0.00004134471,0.0002364668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02658383,"threshold_uncertainty_score":0.8835654,"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."}}