{"id":"W3111143417","doi":"10.21203/rs.3.rs-97977/v1","title":"Electronic Health Record-Based Genome-Wide Meta-Analysis and Mendelian Randomization Identify Metabolic and Phenotypic Consequences of Non-Alcoholic Fatty Liver Disease","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Common Fund; National Institute of Neurological Disorders and Stroke; National Human Genome Research Institute; National Institute on Drug Abuse; National Institute of Mental Health; National Heart, Lung, and Blood Institute; National Cancer Institute; Eesti Teadusagentuur; National Institutes of Health; European Commission; European Regional Development Fund; Horizon 2020 Framework Programme; Fonds de Recherche du Québec - Santé; Tartu Ülikool","keywords":"Mendelian randomization; Fatty liver; Disease; Meta-analysis; Phenotype; Genome-wide association study; Alcoholic liver disease; Biology; Genetics; Medicine; Bioinformatics; Computational biology; Gene; Internal medicine; Genetic variants; 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":[0.02124925,0.001800009,0.005196009,0.003081959,0.0007179093,0.002837903,0.00212092,0.001719199,0.003961209],"category_scores_gemma":[0.04736487,0.001109595,0.02229371,0.005295805,0.0004838717,0.001415771,0.00127603,0.001993272,0.0004503132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000856187,"about_ca_system_score_gemma":0.001191253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006400673,"about_ca_topic_score_gemma":0.006781724,"domain_scores_codex":[0.9676653,0.02159065,0.003138701,0.004874799,0.001845686,0.0008849373],"domain_scores_gemma":[0.957738,0.0298043,0.004047517,0.006685757,0.001335772,0.000388647],"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":[0.008057447,0.00006407923,0.1956972,0.004959066,0.7689905,0.0003663078,0.00006982598,0.002378726,0.0008044183,0.0008842499,0.002015225,0.01571298],"study_design_scores_gemma":[0.002932787,0.0006389703,0.1266938,0.001243151,0.8477469,0.0004843005,0.00009224503,0.01101178,0.00119089,0.003950721,0.003938005,0.00007640282],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.638989,0.2744091,0.05902222,0.004238211,0.002783474,0.0007082149,0.01387351,0.001262794,0.004713424],"genre_scores_gemma":[0.9799096,0.007735261,0.007994231,0.0008196235,0.0003399742,0.0003004829,0.002259762,0.0001083533,0.0005327667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02124925,"threshold_uncertainty_score":0.1123781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05158282114745481,"score_gpt":0.3212635736261182,"score_spread":0.2696807524786634,"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."}}