{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008019104,0.000222199,0.0005673502,0.0001015297,0.00006914563,0.000002592263,0.00008992755,0.0002342372,0.0001803052],"category_scores_gemma":[0.0004562678,0.0001585458,0.0001242147,0.00009605203,0.0006564131,0.0000770956,0.00005758426,0.00005845613,7.913088e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001268826,"about_ca_system_score_gemma":0.0001862554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001825626,"about_ca_topic_score_gemma":0.0002781674,"domain_scores_codex":[0.9982183,0.0002024196,0.0005308329,0.00058395,0.00009452381,0.0003699969],"domain_scores_gemma":[0.998368,0.0008093613,0.0003350906,0.0001865592,0.0001513192,0.0001496199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001165714,0.00002252326,0.6669466,0.0005760076,0.0002684598,3.948438e-7,0.00003034911,9.875155e-7,0.216076,0.00006023621,0.0005911315,0.1142615],"study_design_scores_gemma":[0.002374012,0.0007544176,0.9012811,0.0009318469,0.0004147654,0.00002305676,0.00001594725,0.00009214243,0.09063804,0.00227683,0.0009902172,0.0002076522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.877681,0.1150867,0.002038893,0.003391655,0.0005848856,0.00104712,0.0001200241,0.00002751856,0.00002224181],"genre_scores_gemma":[0.959644,0.03230344,0.006150036,0.0001895727,0.0001706008,0.0008623474,0.000006701679,0.00002806645,0.0006452061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2343344,"threshold_uncertainty_score":0.6465309,"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."}}