{"id":"W4246622469","doi":"10.21203/rs.3.rs-97977/v2","title":"Electronic Health Record-Based Genome-Wide Meta-Analysis and Mendelian Randomization Identify Metabolic and Phenotypic Consequences of Non-Alcoholic Fatty Liver Disease","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Common Fund; National Human Genome Research Institute; National Institute on Drug Abuse; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Heart, Lung, and Blood Institute; European Commission; European Regional Development Fund; Fonds de Recherche du Québec - Santé; Eesti Teadusagentuur; National Cancer Institute; National Institutes of Health","keywords":"Mendelian randomization; Fatty liver; Disease; Phenotype; Biology; Meta-analysis; Genetics; Mendelian inheritance; Computational biology; Genome; Gene; Bioinformatics; Medicine; Genetic variants; Internal medicine; 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":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.01687313,0.001915178,0.004175046,0.002650667,0.0007725228,0.00358077,0.001945488,0.002641958,0.007039772],"category_scores_gemma":[0.05613593,0.001554694,0.01621741,0.004439922,0.0006030817,0.002247104,0.001579414,0.002268016,0.0007479856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005976147,"about_ca_system_score_gemma":0.0009282831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00466689,"about_ca_topic_score_gemma":0.004205074,"domain_scores_codex":[0.9764785,0.01571099,0.001928853,0.00402445,0.001076241,0.0007809368],"domain_scores_gemma":[0.966662,0.02246151,0.002815412,0.006922911,0.0008075876,0.0003305676],"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":[0.02640456,0.0002432081,0.2116878,0.003759107,0.7137919,0.0006624214,0.0001968564,0.002777782,0.001740822,0.00236261,0.003951985,0.032421],"study_design_scores_gemma":[0.007960992,0.001415701,0.1848784,0.0008559745,0.769375,0.0009091351,0.0002897955,0.01307299,0.001916068,0.01427166,0.004913056,0.0001412333],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7963391,0.1074846,0.06584731,0.005806427,0.003656239,0.0004441969,0.01320604,0.001458712,0.00575738],"genre_scores_gemma":[0.9787408,0.003913199,0.01247357,0.0006933093,0.0004848424,0.0002029532,0.001988178,0.0001958182,0.001307481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9958249,"threshold_uncertainty_score":0.08923477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08555047353496245,"score_gpt":0.4001990913430101,"score_spread":0.3146486178080476,"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."}}