{"id":"W2155993522","doi":"10.1158/1055-9965.epi-14-1309","title":"Mendelian Randomization Study of Body Mass Index and Colorectal Cancer Risk","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; Lunenfeld-Tanenbaum Research Institute","funders":"National Human Genome Research Institute; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Institute on Aging; National Cancer Institute; Lundbeckfonden; National Institutes of Health; U.S. Public Health Service","keywords":"Mendelian randomization; Body mass index; Medicine; Colorectal cancer; Oncology; Randomization; Mendelian inheritance; Index (typography); Internal medicine; Cancer; Genetics; Biology; Clinical trial; Genotype; Gene; Genetic variants; Computer science","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":[0.02344023,0.0007455109,0.001303532,0.001324325,0.0004549909,0.0007904367,0.000998745,0.001033545,0.001679937],"category_scores_gemma":[0.07800683,0.0003874948,0.001134849,0.001787113,0.001156639,0.0004758065,0.0005218158,0.0007389548,0.000217545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007571374,"about_ca_system_score_gemma":0.001124352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002973166,"about_ca_topic_score_gemma":0.001354949,"domain_scores_codex":[0.9567188,0.03593494,0.001064617,0.003424634,0.002409585,0.000447417],"domain_scores_gemma":[0.9459472,0.03917499,0.007170015,0.005947279,0.001234205,0.0005262641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01591582,0.0004655137,0.8239059,0.0006270913,0.01282827,0.003256053,0.0009481619,0.01262578,0.007977835,0.03690531,0.004056145,0.08048803],"study_design_scores_gemma":[0.01212183,0.01004732,0.6088626,0.0003980883,0.009767582,0.01744994,0.0004446026,0.2114285,0.006074288,0.1071791,0.01583961,0.0003866142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8410687,0.003464938,0.1493289,0.0009021123,0.0002752185,0.0009769996,0.001131168,0.0004837694,0.002368242],"genre_scores_gemma":[0.9628125,0.0005245476,0.03467711,0.0002858367,0.00007881797,0.0005859341,0.0005066706,0.00005751748,0.0004708912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02344023,"threshold_uncertainty_score":0.1239653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02889368768976901,"score_gpt":0.3408353353095793,"score_spread":0.3119416476198102,"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."}}