{"id":"W3034831360","doi":"10.1002/hep.31417","title":"Microbiomics, Metabolomics, Predicted Metagenomics, and Hepatic Steatosis in a Population‐Based Study of 1,355 Adults","year":2020,"lang":"en","type":"article","venue":"Hepatology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network","funders":"KU Leuven; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Erasmus Universiteit Rotterdam; Gilead Sciences; Erasmus Universitair Medisch Centrum Rotterdam; American Association for the Study of Liver Diseases; Erasmus Medisch Centrum; GlaxoSmithKline; European Commission; Bristol-Myers Squibb","keywords":"Steatosis; Metagenomics; Metabolomics; Liver steatosis; Population; Biology; Computational biology; Medicine; Internal medicine; Bioinformatics; Environmental health; Fatty liver; Genetics; Disease; Gene","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":[0.00101712,0.0004327571,0.0004662346,0.0005410168,0.0007452062,0.0006166359,0.000296164,0.0006266407,0.001743892],"category_scores_gemma":[0.001832568,0.0007099826,0.0005669316,0.000885953,0.0003862965,0.00047976,0.0006153267,0.0006274353,0.0002751456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002815588,"about_ca_system_score_gemma":0.0002391969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005749634,"about_ca_topic_score_gemma":0.005069939,"domain_scores_codex":[0.9994242,0.0001611051,0.00006561531,0.0002290569,0.00005822571,0.00006178165],"domain_scores_gemma":[0.9994385,0.0001356793,0.0001647657,0.0001030367,0.00005269277,0.0001053104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003184124,0.0000710672,0.9978023,0.00002571731,0.0001379688,0.0000791323,0.0002550038,0.0000416635,0.0004002348,0.00002463655,0.0001117624,0.0007319439],"study_design_scores_gemma":[0.00004006736,0.0003092956,0.9982249,0.00001344851,0.0001299388,0.0002385873,0.0004148449,0.0003062738,0.00006072754,0.00004037214,0.0002149632,0.000006641558],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990529,0.0002198789,0.0001754329,0.00002713764,0.000003475284,0.00001271998,0.0004149521,0.00000304821,0.00009047431],"genre_scores_gemma":[0.999245,0.00007240319,0.0002238329,0.00003638831,0.000006692097,0.00002372457,0.0002906702,0.00000197627,0.00009933578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005749634,"threshold_uncertainty_score":0.01143235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880732030065531,"score_gpt":0.2500836384083248,"score_spread":0.2312763181076695,"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."}}