{"id":"W2545241042","doi":"10.1158/1055-9965.epi-16-0693","title":"Prevalence and Penetrance of Major Genes and Polygenes for Colorectal Cancer","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":527,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"National Center for Chronic Disease Prevention and Health Promotion; National Cancer Institute; National Institutes of Health; Cancer Research UK","keywords":"MUTYH; MLH1; Genetics; Colorectal cancer; Population; MSH6; MSH2; Penetrance; Medicine; Biology; Cancer; Oncology; DNA mismatch repair; Gene; Mutation; Germline mutation; Phenotype","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":[0.0009180252,0.0002674132,0.0001851671,0.001054681,0.0002336544,0.0003602212,0.0003337567,0.000358876,0.00171956],"category_scores_gemma":[0.003258496,0.0002107399,0.0003081382,0.0005129605,0.0003315285,0.0001995496,0.0003648876,0.0002792168,0.0001094148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003155689,"about_ca_system_score_gemma":0.0002925369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01017741,"about_ca_topic_score_gemma":0.006160297,"domain_scores_codex":[0.999382,0.0002359421,0.00005210634,0.0001591011,0.00009055506,0.00008029592],"domain_scores_gemma":[0.997957,0.0008135926,0.0007301608,0.00018329,0.0001318398,0.0001840329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003455271,0.000008587637,0.9982326,0.000004706176,0.00004443346,0.0001145623,0.00003408473,0.00009337742,0.0003654753,0.00003207315,0.00002726118,0.001008376],"study_design_scores_gemma":[0.000002693423,0.00003706812,0.9982333,0.000003476101,0.00002734752,0.0009411206,0.00003540622,0.0004867907,0.0001208881,0.00004291877,0.00006728942,0.000001702977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991834,0.0001615735,0.0002804505,0.00001936004,7.369412e-7,0.000004063572,0.0001532111,0.000006446663,0.0001908329],"genre_scores_gemma":[0.9996938,0.00003792281,0.00009819354,0.000002515809,0.000001391687,0.000001895546,0.0001237907,8.763222e-7,0.0000395442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01017741,"threshold_uncertainty_score":0.02023631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04607514397927646,"score_gpt":0.3655365510647584,"score_spread":0.3194614070854819,"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."}}