{"id":"W2868396400","doi":"10.1038/s41380-018-0079-4","title":"Genome-wide meta-analysis of macronutrient intake of 91,114 European ancestry participants from the cohorts for heart and aging research in genomic epidemiology consortium","year":2018,"lang":"en","type":"review","venue":"Molecular Psychiatry","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; University of Toronto; Hospital for Sick Children; Université Laval","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institute on Aging; National Cancer Institute; National Institutes of Health; Lundbeckfonden; National Eye Institute; British Heart Foundation; Medical Research Council; National Institute for Health and Care Research","keywords":"Locus (genetics); Genome-wide association study; Genetics; Biology; Obesity; Biobank; Genetic variation; Meta-analysis; Bioinformatics; Medicine; Genotype; Gene; Internal medicine; Endocrinology; Single-nucleotide polymorphism","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003269556,0.001527745,0.004414005,0.001596337,0.0003065618,0.001322315,0.001070834,0.001115753,0.001577341],"category_scores_gemma":[0.005848685,0.0006284707,0.00702035,0.003167919,0.0001865583,0.0006132878,0.0009537221,0.001123308,0.0002324294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005211122,"about_ca_system_score_gemma":0.001225231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006184336,"about_ca_topic_score_gemma":0.01408258,"domain_scores_codex":[0.9986198,0.0004508213,0.0003413037,0.0003349287,0.0001792623,0.00007382147],"domain_scores_gemma":[0.9982487,0.001199905,0.000190091,0.000138185,0.0001800381,0.0000431605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.004964434,0.0001059566,0.0982741,0.08201597,0.6108736,0.0005796071,0.0002670614,0.001059574,0.00170566,0.000841848,0.00983628,0.189476],"study_design_scores_gemma":[0.0007281206,0.0003458406,0.1492588,0.008130089,0.8003384,0.0007225522,0.0001888899,0.0004547502,0.0007893799,0.002360722,0.0365713,0.0001111395],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01191093,0.985174,0.0008050902,0.0003828205,0.0002184637,0.00002465562,0.001133438,0.00002734628,0.0003232251],"genre_scores_gemma":[0.1893535,0.8001648,0.003940716,0.001231479,0.0004985111,0.0001288039,0.00385553,0.00004811945,0.0007785025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006184336,"threshold_uncertainty_score":0.01729125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2300149007563337,"score_gpt":0.4335445322961537,"score_spread":0.20352963153982,"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."}}