{"id":"W3019879730","doi":"10.3138/canlivj-2019-0025","title":"Optimizing patients with non-alcoholic fatty liver disease pre-transplant","year":2020,"lang":"en","type":"review","venue":"Canadian Liver Journal","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Steatohepatitis; Fatty liver; Liver transplantation; Cirrhosis; Metabolic syndrome; Intensive care medicine; Disease; Liver disease; Chronic liver disease; Transplantation; Diabetes mellitus; Alcoholic liver disease; Internal medicine; Malignancy; Obesity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004265145,0.0002733511,0.0004733871,0.0004038511,0.0001844531,0.0004930776,0.0002746814,0.000440125,0.002814494],"category_scores_gemma":[0.001119137,0.00005978715,0.0004481246,0.0003691296,0.0001021426,0.0004001538,0.0003073763,0.0005993153,0.0006153033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002265821,"about_ca_system_score_gemma":0.0006307813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006776488,"about_ca_topic_score_gemma":0.001534116,"domain_scores_codex":[0.9997556,0.00008312414,0.00004387027,0.00002284523,0.00006064453,0.00003393344],"domain_scores_gemma":[0.9998197,0.00007031832,0.00003399717,0.000004088265,0.00004626477,0.00002574001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003500365,0.000127699,0.006046663,0.01052124,0.0001837579,0.0008880176,0.0002458612,0.0002995586,0.001227477,0.001450599,0.02792876,0.9507304],"study_design_scores_gemma":[0.0001718127,0.000758226,0.04323552,0.02154392,0.0008043676,0.007190068,0.0006393153,0.0003746737,0.001798319,0.003258049,0.9201744,0.0000514267],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01004098,0.9751325,0.001219659,0.003660818,0.0008418842,0.0000500083,0.0001680678,0.0000485253,0.008837608],"genre_scores_gemma":[0.04730773,0.9445094,0.002260416,0.001929315,0.0009354195,0.00009647099,0.0004636291,0.00001288806,0.002484665],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002814494,"threshold_uncertainty_score":0.009415448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02229599308661636,"score_gpt":0.2577142142305434,"score_spread":0.235418221143927,"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."}}