{"id":"W4323826829","doi":"10.1101/2023.03.10.23287084","title":"Identifying metabolic features of colorectal cancer liability using Mendelian randomization","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Center for Advancing Translational Sciences; Medical Research Council; Elizabeth Blackwell Institute for Health Research, University of Bristol; Biobanco Vasco; Vetenskapsrådet; Stockholms Läns Landsting; National Cancer Institute; University of Bristol; Knut och Alice Wallenbergs Stiftelse; Canadian Institutes of Health Research; Cancerfonden; Diabetes UK; Umeå Universitet; Division of Cancer Prevention, National Cancer Institute; National Institute for Health and Care Research; University of Cambridge; Wellcome Trust; Cancer Research UK; Moffitt Cancer Center; Pelotonia; Swedish Cancer Foundation; UK Research and Innovation; University of South Florida; Génome Québec; National Institutes of Health; Florida Department of Health; Canadian Cancer Society Research Institute; McGill University; Karolinska Institutet; Memorial Sloan-Kettering Cancer Center; U.S. Department of Health and Human Services","keywords":"Mendelian randomization; Colorectal cancer; Liability; Randomization; Medicine; Internal medicine; Cancer; Genetics; Business; Biology; Gene; Clinical trial; Accounting; Genotype; Genetic variants","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03592858,0.001189641,0.001505467,0.002460918,0.0005650648,0.0009946143,0.00133977,0.001330003,0.004984539],"category_scores_gemma":[0.07226394,0.0005986306,0.002688614,0.001569609,0.00156486,0.0008834351,0.001054764,0.0009835853,0.0003229937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006740392,"about_ca_system_score_gemma":0.001084513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003176147,"about_ca_topic_score_gemma":0.001790053,"domain_scores_codex":[0.9476003,0.04325152,0.001112306,0.005018083,0.002353559,0.000664146],"domain_scores_gemma":[0.9446096,0.04221752,0.005270892,0.006914971,0.0006661733,0.000320859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01958464,0.0008369187,0.6807539,0.001078624,0.01546172,0.005868107,0.001704162,0.03472878,0.01510393,0.04708304,0.004981546,0.1728147],"study_design_scores_gemma":[0.004704954,0.007142177,0.3843824,0.0003257997,0.008045881,0.00905784,0.0004522285,0.4821545,0.00753291,0.08629991,0.009568291,0.0003330103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6166728,0.0007785067,0.3747556,0.0009294396,0.0001548889,0.001632797,0.001542214,0.0009143391,0.002619522],"genre_scores_gemma":[0.8965058,0.0001928728,0.1005531,0.0001603857,0.00005178314,0.001208642,0.0004960391,0.00008325661,0.000748053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03592858,"threshold_uncertainty_score":0.1900107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04424139259004038,"score_gpt":0.3396603036152208,"score_spread":0.2954189110251804,"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."}}