{"id":"W3114943719","doi":"10.1016/j.atherosclerosis.2020.10.830","title":"Screening for non-alcoholic fatty liver disease using liver stiffness scores in patients with chylomicronemia","year":2020,"lang":"en","type":"article","venue":"Atherosclerosis","topic":"Lipid metabolism and disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Internal medicine; Chylomicron; Medicine; Lipoprotein lipase; Fatty liver; Metabolic syndrome; Endocrinology; Acute pancreatitis; Gastroenterology; Hypertriglyceridemia; Triglyceride; Disease; Obesity; Lipoprotein; Cholesterol; Very low-density lipoprotein; Adipose tissue","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":[0.0006022585,0.000727655,0.0006503831,0.001640295,0.0006450237,0.0007795324,0.0003733537,0.0007779129,0.001815889],"category_scores_gemma":[0.002308119,0.0003840892,0.0006745665,0.001148986,0.0003093103,0.000727936,0.0004920601,0.0008976356,0.0002823512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002654026,"about_ca_system_score_gemma":0.0004343938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004043149,"about_ca_topic_score_gemma":0.00725012,"domain_scores_codex":[0.9995673,0.0001450656,0.00006547936,0.00005371392,0.00007570225,0.0000927381],"domain_scores_gemma":[0.9992448,0.0002626475,0.0001683222,0.00003010865,0.00008788029,0.0002062063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001563473,0.00005459107,0.9981766,0.000006501935,0.00002803814,0.0001511879,0.00003046569,0.00002094959,0.0002023372,0.000007458744,0.00005842324,0.001107183],"study_design_scores_gemma":[0.00001774584,0.0002416565,0.9981405,0.0000114902,0.00005860024,0.0005750127,0.0002589085,0.0004336294,0.0001116888,0.00004306241,0.0001006516,0.000007047957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997954,0.0004539269,0.0001103875,0.0001431467,0.00002382402,0.00001412064,0.0001472772,0.00000759954,0.001145763],"genre_scores_gemma":[0.9992959,0.000127657,0.0001291022,0.00005232239,0.00002179668,0.000008313256,0.0001300068,0.000001277913,0.0002335981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004043149,"threshold_uncertainty_score":0.008039236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04481692847312664,"score_gpt":0.2511772237452852,"score_spread":0.2063602952721586,"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."}}