{"id":"W4243819229","doi":"10.21203/rs.3.rs-537397/v2","title":"Using genetics to uncouple higher adiposity from its adverse metabolic effects and understand its role in metabolic and non-metabolic disease.","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Cancer Research","funders":"National Cancer Institute; Instituto de Salud Carlos III; Agència de Gestió d'Ajuts Universitaris i de Recerca; Cancer Council Victoria; Ontario Ministry of Research and Innovation; National Health and Medical Research Council; World Cancer Research Fund; Medical Research Council; Canadian Institutes of Health Research; Centers for Disease Control and Prevention; Chonnam National University Hwasun Hospital; Hellenic Health Foundation; Biobanco Vasco; Junta de Castilla y León; Brigham and Women's Hospital; Wereld Kanker Onderzoek Fonds; World Health Organization; Xarxa de Bancs de Tumors de Catalunya; Xunta de Galicia; Deutsche Krebshilfe; Associazione Italiana per la Ricerca sul Cancro; NordForsk; Vetenskapsrådet; Mutuelle Générale de l'Education Nationale; Bundesministerium für Bildung und Forschung; Ministerio de Economía y Competitividad; Cancerfonden; University of Cambridge; ZonMw; Canadian Cancer Society Research Institute; Institut National de la Santé et de la Recherche Médicale; Chonnam National University; Centres de Recerca de Catalunya; Umeå Universitet; Ministerstvo Zdravotnictví Ceské Republiky; European Commission; Generalitat de Catalunya; Food Standards Agency; Génome Québec; Institut Gustave-Roussy; Grantová Agentura České Republiky; Johns Hopkins University; Centre International de Recherche sur le Cancer; Ligue Contre le Cancer; Deutsches Krebsforschungszentrum; Harvard T.H. Chan School of Public Health; Florida Department of Health; National Institutes of Health; Mike and Josie Harper Cancer Research Institute; University of Pittsburgh; University of Exeter; World Cancer Research Fund International; Memorial Sloan-Kettering Cancer Center; McGill University; U.S. Department of Health and Human Services; American Institute for Cancer Research; Damon Runyon Cancer Research Foundation; KWF Kankerbestrijding; Wageningen University and Research; Cancer Research UK; Innovative Medicines Initiative; American Cancer Society; University of South Florida","keywords":"Metabolic disease; Disease; Metabolic syndrome; Genetics; Medicine; Obesity; Biology; Bioinformatics; Internal medicine","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":[0.002025356,0.0006771955,0.0006012405,0.0007782032,0.0002542369,0.001053047,0.000416065,0.001303089,0.004458932],"category_scores_gemma":[0.00674444,0.0002249292,0.0006194385,0.0009613695,0.0008916435,0.0006686118,0.0006427336,0.001482247,0.0005097344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002538992,"about_ca_system_score_gemma":0.0006870565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002385285,"about_ca_topic_score_gemma":0.002020591,"domain_scores_codex":[0.9992458,0.0004013001,0.00002989472,0.0001371502,0.000142341,0.00004361086],"domain_scores_gemma":[0.9977882,0.001330873,0.0003352263,0.0003212077,0.00009447894,0.0001300565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003145667,0.000900469,0.3821002,0.0015267,0.006360294,0.003978295,0.00149051,0.006621273,0.123779,0.1379093,0.03276226,0.299426],"study_design_scores_gemma":[0.0006122031,0.001018116,0.4282098,0.0006889055,0.002806802,0.004038536,0.0008337483,0.01552365,0.03104292,0.4569129,0.05816424,0.0001481208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5857838,0.03439359,0.2822261,0.04888711,0.005466169,0.0001658575,0.008187947,0.001586496,0.03330299],"genre_scores_gemma":[0.8725093,0.01288698,0.09196145,0.00558674,0.001341249,0.0002163929,0.00174669,0.0003891301,0.01336211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004458932,"threshold_uncertainty_score":0.0149166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04843810641366574,"score_gpt":0.3627426820072818,"score_spread":0.3143045755936161,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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