{"id":"W2109946581","doi":"10.1371/journal.pgen.1004228","title":"Genome-Wide Diet-Gene Interaction Analyses for Risk of Colorectal Cancer","year":2014,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Toronto General Hospital; University Health Network; Ontario Institute for Cancer Research; Cancer Care Ontario","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute; National Institute on Aging; U.S. Department of Health and Human Services; National Institutes of Health; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; U.S. Public Health Service; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; National Human Genome Research Institute; Ontario Institute for Cancer Research; Ontario Ministry of Research and Innovation; National Institute of Diabetes and Digestive and Kidney Diseases; Johns Hopkins University; Division of Cancer Prevention, National Cancer Institute","keywords":"Colorectal cancer; Biology; Red meat; Gene–environment interaction; Genotype; Quartile; Cancer; Logistic regression; Single-nucleotide polymorphism; Genetics; Internal medicine; Gene; Medicine; Food science; Confidence interval","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008957423,0.0001624429,0.0001950059,0.00005645899,0.00007909397,0.00001569568,0.0001587062,0.0001166836,0.00002547301],"category_scores_gemma":[0.0002101747,0.0001659898,0.0001695044,0.00006698969,0.00008084642,0.000002374558,0.00005712282,0.00004726023,0.000002971565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001652717,"about_ca_system_score_gemma":0.00006266747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001194535,"about_ca_topic_score_gemma":0.00009056858,"domain_scores_codex":[0.9989851,0.00007117254,0.0002778292,0.0003215454,0.000128136,0.0002162428],"domain_scores_gemma":[0.999077,0.00004460723,0.000188602,0.0002856532,0.0002854483,0.0001186411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000511971,0.0002119136,0.04561285,0.00007730983,0.0002256602,1.44863e-7,0.00004070372,0.001957346,0.9505416,0.000002499656,0.0003858708,0.0004321085],"study_design_scores_gemma":[0.0008058869,0.0008410044,0.02029203,0.00001122921,0.0003165197,6.024107e-7,0.0000441648,0.002264385,0.9672796,0.0002186875,0.00772086,0.0002050772],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916098,0.003062141,0.00426515,0.00003503448,0.0001939421,0.0003006947,0.0003447804,0.00001081536,0.0001776133],"genre_scores_gemma":[0.9934679,0.002631433,0.002728964,0.0001034821,0.0004954658,0.0001021008,0.0003570919,0.00003427002,0.00007932164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02532082,"threshold_uncertainty_score":0.6768867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02546510739079185,"score_gpt":0.3032251340978114,"score_spread":0.2777600267070195,"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."}}