{"id":"W1951807044","doi":"10.1186/s12889-015-2260-x","title":"Metabolic syndrome and prostate cancer risk in a population-based case–control study in Montreal, Canada","year":2015,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal; McGill University Health Centre; Institut National de la Recherche Scientifique","funders":"Fonds de Recherche du Québec - Santé; Ministère du Développement Économique, de l’Innovation et de l’Exportation; Cancer Research Society","keywords":"Medicine; Prostate cancer; Odds ratio; Metabolic syndrome; Dyslipidemia; Population; Biostatistics; Abdominal obesity; Cancer; Type 2 diabetes; Epidemiology; Demography; Case-control study; Internal medicine; Obesity; Gynecology; Diabetes mellitus; Environmental health; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007457969,0.0005590562,0.0005624517,0.001396429,0.002202999,0.001175497,0.001247544,0.0004909809,0.00218917],"category_scores_gemma":[0.001330192,0.0004121541,0.0006294267,0.003372211,0.0007110666,0.0002764142,0.0005055891,0.0005678558,0.0001783092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01820438,"about_ca_system_score_gemma":0.01287227,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.989458,"about_ca_topic_score_gemma":0.9880823,"domain_scores_codex":[0.999044,0.0001362414,0.00005636599,0.0002562547,0.0002864604,0.0002207068],"domain_scores_gemma":[0.9989759,0.00006175406,0.0001899211,0.00005395055,0.0004465704,0.0002719483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001205232,0.00004682963,0.995747,0.00003393756,0.0001857063,0.0002151115,0.0002677705,0.00008586093,0.0003700598,0.00007630653,0.00099661,0.001854234],"study_design_scores_gemma":[0.00002144097,0.00002698804,0.9988991,0.00001449137,0.00005458907,0.00006817553,0.0001423056,0.000188253,0.00003116071,0.00001365567,0.0005322113,0.000007685569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895649,0.002520191,0.0004546362,0.0004197271,0.00003647929,0.0001681512,0.004759395,0.00003214878,0.002044313],"genre_scores_gemma":[0.9967523,0.0006266842,0.0003473652,0.0001195446,0.00001344215,0.00004001706,0.001266022,0.000006288256,0.0008284192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01820438,"threshold_uncertainty_score":0.1320826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01983966526108702,"score_gpt":0.2839231878310179,"score_spread":0.264083522569931,"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."}}