{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006588829,0.0001774777,0.0007383712,0.0001700086,0.00002553947,0.000005593921,0.00006583009,0.00008526907,0.00006710643],"category_scores_gemma":[0.00008752231,0.0001604055,0.00007678795,0.0002153789,0.00003789934,0.00003741805,0.00005432871,0.00009215269,0.000005312583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006059836,"about_ca_system_score_gemma":0.00007835767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001759728,"about_ca_topic_score_gemma":0.0005556598,"domain_scores_codex":[0.9986989,0.0001395429,0.0004871486,0.0003930751,0.00009411512,0.0001872245],"domain_scores_gemma":[0.9993078,0.00009050003,0.0001434653,0.0002266647,0.0000617246,0.000169836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007661095,0.00187675,0.9948766,0.0001638898,0.0003471944,0.00008500847,0.001064426,0.000006657803,0.0003154694,0.00004346939,0.00004931505,0.0004051195],"study_design_scores_gemma":[0.009988,0.001052978,0.9806486,0.00004139547,0.0008635008,0.000006058666,0.0004381464,0.005677221,0.001105458,0.00001285439,0.00004282524,0.0001229624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967584,0.0008988472,0.000006916466,0.0009426108,0.00005368275,0.001168366,0.0001221692,0.00003196338,0.00001704268],"genre_scores_gemma":[0.9984251,0.0001092339,0.0004740394,0.0007100007,0.00001782974,0.00007335616,0.0001667954,0.00002127817,0.00000238657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01422799,"threshold_uncertainty_score":0.6541145,"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."}}