{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001126002,0.0004796204,0.0003560534,0.0001350865,0.0002541982,0.0001424294,0.0004599363,0.0003949744,0.00006084612],"category_scores_gemma":[0.00006696153,0.0005352555,0.0001590159,0.0001236298,0.0002753539,0.000006399804,0.0003176722,0.0001806778,0.00002520606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000168472,"about_ca_system_score_gemma":0.0000764333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004766518,"about_ca_topic_score_gemma":0.00004795109,"domain_scores_codex":[0.9973342,0.0002740539,0.0005178976,0.0009912123,0.0003912602,0.0004913092],"domain_scores_gemma":[0.9981265,0.0000199036,0.0001709886,0.001078347,0.0001493934,0.0004548848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004803596,0.0001972441,0.04326003,0.00004793986,0.000209079,0.00003377036,0.00008620419,0.0002001164,0.9529035,0.0003086891,0.001047682,0.001657732],"study_design_scores_gemma":[0.003105293,0.000882118,0.8139068,0.0000529554,0.0003309124,0.00001883354,0.00009748449,0.0005580669,0.1284013,0.0262907,0.0251273,0.001228303],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760851,0.01131197,0.01086256,0.00005674341,0.000208886,0.0003783198,0.0001096047,0.00003880981,0.0009480625],"genre_scores_gemma":[0.9899522,0.001013794,0.006055511,0.00118924,0.0006660002,0.00004517256,0.0008591014,0.0001068103,0.0001121398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8245022,"threshold_uncertainty_score":0.9997099,"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."}}