{"id":"W2164163537","doi":"10.1093/hmg/ddu411","title":"FTO genetic variants, dietary intake and body mass index: insights from 177 330 individuals","year":2014,"lang":"en","type":"article","venue":"Human Molecular Genetics","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":163,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"National Institute on Minority Health and Health Disparities; National Center for Research Resources; National Institute of Environmental Health Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute on Aging; National Eye Institute; National Center for Advancing Translational Sciences; National Human Genome Research Institute; Fogarty International Center; National Heart, Lung, and Blood Institute; Medical Research Council; National Institute for Health and Care Research; Canadian Institutes of Health Research; Cancer Research UK; Novo Nordisk Fonden; U.S. Public Health Service; National Cancer Institute","keywords":"Biology; Body mass index; Genetics; Index (typography); 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":[0.001035053,0.0005329154,0.0008593901,0.0006455342,0.0006527969,0.0006025577,0.0003725826,0.0004971064,0.001526011],"category_scores_gemma":[0.001591243,0.0004385487,0.0007417843,0.001937297,0.0003472361,0.0002537334,0.000750137,0.0004194237,0.0004421514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003280456,"about_ca_system_score_gemma":0.0003272827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007158775,"about_ca_topic_score_gemma":0.01478967,"domain_scores_codex":[0.9993843,0.0001688333,0.00008391999,0.0001867122,0.0001150341,0.00006117303],"domain_scores_gemma":[0.9992324,0.0002947316,0.0001945488,0.0001050694,0.00006367493,0.000109501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001819687,0.0001482826,0.9678649,0.0003755998,0.001513574,0.001105649,0.002065907,0.0001760525,0.008920394,0.0001398892,0.001204578,0.01466555],"study_design_scores_gemma":[0.00009093571,0.0002199288,0.9949291,0.00003437117,0.0005827636,0.0008022175,0.0004062832,0.0001138798,0.0002974255,0.0001244655,0.002383672,0.00001483336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956996,0.001265889,0.0003234578,0.00004793839,0.000002847099,0.000026415,0.002366512,0.00000445091,0.0002628114],"genre_scores_gemma":[0.9919134,0.001416336,0.001484599,0.0001533944,0.00001754742,0.0001354186,0.004376612,0.00001433502,0.000488329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007158775,"threshold_uncertainty_score":0.01423424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008753137788574287,"score_gpt":0.2298724287138008,"score_spread":0.2211192909252265,"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."}}