{"id":"W1989568128","doi":"10.1038/ng.2982","title":"An atlas of genetic influences on human blood metabolites","year":2014,"lang":"en","type":"article","venue":"Nature Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1645,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University and Génome Québec Innovation Centre; Jewish General Hospital","funders":"Leibniz-Rechenzentrum; Leibniz-Gemeinschaft; Canadian Institutes of Health Research; Weill Cornell Medical College; National Institutes of Health; Helmholtz Zentrum München; National Institute for Health and Care Research; Bundesministerium für Bildung und Forschung; Bayerische Akademie der Wissenschaften; Münchner Zentrum für Gesundheitswissenschaften; Weill Cornell Medicine - Qatar; Wellcome Trust; Russian Foundation for Basic Research; Qatar Foundation; Deutsche Forschungsgemeinschaft; King's College London; European Commission; Pfizer","keywords":"Biology; Genome-wide association study; Human genetic variation; Genetic variation; Genetic association; Computational biology; Genetics; Human genome; Population; Heritability; Genome; Gene; Single-nucleotide polymorphism; Genotype","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":[0.0003937824,0.0005768604,0.000543027,0.006258581,0.0003684133,0.001051169,0.0003779125,0.0003339616,0.01694711],"category_scores_gemma":[0.001079261,0.000299628,0.0005450633,0.007722271,0.0002100929,0.0006395116,0.0007352554,0.0005769223,0.003438506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000540061,"about_ca_system_score_gemma":0.0008158393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005562247,"about_ca_topic_score_gemma":0.01076315,"domain_scores_codex":[0.9997273,0.00005804668,0.00002580369,0.00007874775,0.00008011718,0.00002998177],"domain_scores_gemma":[0.9987825,0.0004613018,0.0001589577,0.0002106751,0.0002429117,0.0001436791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008611433,0.0000910812,0.05174064,0.00257757,0.001012461,0.001541712,0.0003841646,0.0054498,0.03859584,0.0218452,0.1962706,0.6796298],"study_design_scores_gemma":[0.00005613173,0.0001780177,0.3087359,0.0003964778,0.0005311725,0.003913564,0.0002033076,0.001959568,0.008218041,0.02958681,0.6461211,0.00009989],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1451109,0.1443749,0.1152422,0.007235821,0.00178101,0.0002684376,0.4182951,0.01852031,0.1491713],"genre_scores_gemma":[0.4490473,0.1765212,0.1355055,0.002633466,0.001845305,0.0003871946,0.1605044,0.001663347,0.07189231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01694711,"threshold_uncertainty_score":0.05669379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008956332028529091,"score_gpt":0.294727102150822,"score_spread":0.2857707701222929,"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."}}