{"id":"W4382046876","doi":"10.1038/s41416-023-02312-z","title":"Probing the diabetes and colorectal cancer relationship using gene – environment interaction analyses","year":2023,"lang":"en","type":"article","venue":"British Journal of Cancer","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"National Center for Advancing Translational Sciences; National Institute of Environmental Health Sciences; National Cancer Institute; National Human Genome Research Institute; National Heart, Lung, and Blood Institute; Ontario Ministry of Research and Innovation; School of Public Health, Imperial College London; Agència de Gestió d'Ajuts Universitaris i de Recerca; Canadian Institutes of Health Research; Centers for Disease Control and Prevention; Instituto de Salud Carlos III; Xarxa de Bancs de Tumors de Catalunya; National Institutes of Health; Centre Hospitalier Universitaire de Nantes; Conseil Régional des Pays de la Loire; National Institute of Diabetes and Digestive and Kidney Diseases; Herzfelder'sche Familienstiftung; NIHR Imperial Biomedical Research Centre; Centre International de Recherche sur le Cancer; Grantová Agentura České Republiky; Medizinische Universität Graz; Imperial College London; Generalitat de Catalunya; Bundesministerium für Bildung und Forschung; National Institute on Aging; Harvard T.H. Chan School of Public Health; National Institute for Health and Care Research; Johns Hopkins University; Brigham and Women's Hospital; Emory University; Fred Hutchinson Cancer Research Center; Centres de Recerca de Catalunya; Ministerstvo Zdravotnictví Ceské Republiky; World Health Organization; Cancer Research UK; American Cancer Society; Office of Research Infrastructure Programs, National Institutes of Health; Junta de Castilla y León; Karl-Franzens-Universität Graz; U.S. Department of Health and Human Services","keywords":"Colorectal cancer; Diabetes mellitus; Medicine; Cancer; Internal medicine; Oncology; Bioinformatics; Cancer research; Computational biology; Biology; Endocrinology","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":[0.006740876,0.001338255,0.001368085,0.00360009,0.0008184251,0.001483115,0.001214337,0.0008256292,0.004362351],"category_scores_gemma":[0.01249426,0.0005509238,0.005499196,0.004400368,0.0007730644,0.0005371149,0.001751603,0.00145982,0.0002740839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005244971,"about_ca_system_score_gemma":0.0008907859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008121681,"about_ca_topic_score_gemma":0.008242051,"domain_scores_codex":[0.98368,0.01174955,0.0005758828,0.002370967,0.0008708087,0.0007528462],"domain_scores_gemma":[0.9788905,0.01608676,0.002197342,0.001652749,0.0005211083,0.0006515311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002570358,0.0001428647,0.9565766,0.000232872,0.01591488,0.000776868,0.0001575123,0.001979054,0.008166651,0.0005571411,0.0006777563,0.01224736],"study_design_scores_gemma":[0.0001944285,0.001137176,0.9717852,0.0000351309,0.008530896,0.0008447565,0.0002018494,0.01168221,0.001638802,0.002096937,0.001781368,0.00007132822],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613137,0.003800352,0.028575,0.0005791989,0.0001238262,0.0001024282,0.003757768,0.0003385788,0.001409146],"genre_scores_gemma":[0.9907052,0.0002469904,0.007456983,0.0001301346,0.00005350113,0.00009405155,0.000924907,0.00004455257,0.0003436423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008121681,"threshold_uncertainty_score":0.0356496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04011756778376931,"score_gpt":0.3241981905296975,"score_spread":0.2840806227459282,"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."}}