{"id":"W2136612327","doi":"10.1158/1055-9965.epi-08-0341","title":"Red Meat Intake, Doneness, Polymorphisms in Genes that Encode Carcinogen-Metabolizing Enzymes, and Colorectal Cancer Risk","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; Lunenfeld-Tanenbaum Research Institute; Cancer Care Ontario","funders":"National Cancer Institute","keywords":"Colorectal cancer; Red meat; Medicine; Odds ratio; Population; Carcinogen; Cancer; Internal medicine; Oncology; Genotype; Physiology; Gastroenterology; Genetics; Biology; Environmental health; Gene; Pathology","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":[0.0005676951,0.0003634586,0.0002666838,0.0005986351,0.000253252,0.0004358929,0.000346643,0.0003228114,0.001092634],"category_scores_gemma":[0.002118072,0.0002224331,0.0003125041,0.0009116746,0.0004400088,0.0001974919,0.0001992462,0.0002374962,0.00009609178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007983696,"about_ca_system_score_gemma":0.0006692804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06631443,"about_ca_topic_score_gemma":0.1165589,"domain_scores_codex":[0.9996464,0.0001116239,0.0000260824,0.00006656431,0.0001020223,0.00004733139],"domain_scores_gemma":[0.9982286,0.0005031336,0.0007915347,0.00009546206,0.0001446558,0.0002365071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002945453,0.00002632004,0.9970086,0.00003201086,0.0002004833,0.0001464366,0.00003593837,0.00005209639,0.0005986062,0.00001759749,0.00004610258,0.001541198],"study_design_scores_gemma":[0.000005648701,0.0000547676,0.9995315,0.000004040087,0.00006349677,0.0001039491,0.00001150633,0.00007237347,0.00005106699,0.00001187116,0.0000884592,0.000001327642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954091,0.003563863,0.0001067709,0.00008616682,0.000004396245,0.00000924513,0.0003251508,0.000006143479,0.0004891506],"genre_scores_gemma":[0.9980839,0.001055683,0.0002260782,0.00003203274,0.00001302903,0.00000509118,0.0002872115,0.000001915302,0.0002949932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06631443,"threshold_uncertainty_score":0.1318569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06860447009834202,"score_gpt":0.3285901968031089,"score_spread":0.2599857267047669,"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."}}