{"id":"W2998368831","doi":"10.1002/hep.31103","title":"Applying Machine Learning in Liver Disease and Transplantation: A Comprehensive Review","year":2020,"lang":"en","type":"review","venue":"Hepatology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":205,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto General Hospital; University Health Network; Vector Institute","funders":"","keywords":"Hepatology; Liver transplantation; Medicine; Internal medicine; Liver disease; Transplantation; Disease; Artificial intelligence; Machine learning; Computer science; Intensive care medicine; Medical physics","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":[0.001073557,0.0008432969,0.001417793,0.002850537,0.0002601269,0.001044969,0.0007548796,0.001088236,0.003241737],"category_scores_gemma":[0.002111431,0.0003008988,0.0007890746,0.003246107,0.0005121834,0.001483966,0.0007067726,0.001463108,0.001491085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005622606,"about_ca_system_score_gemma":0.001428593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001345953,"about_ca_topic_score_gemma":0.002065234,"domain_scores_codex":[0.999707,0.00007007249,0.00006355093,0.00004793381,0.00009259675,0.00001882863],"domain_scores_gemma":[0.9986668,0.0009994827,0.0001010186,0.00002501845,0.0001696526,0.00003802009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00003281545,0.00004900345,0.0002072851,0.02953156,0.0001231166,0.0001170266,0.00006626065,0.0005139041,0.0003521376,0.003391728,0.01981558,0.9457996],"study_design_scores_gemma":[0.00001563565,0.0001339583,0.001473419,0.02411826,0.0003265733,0.001303964,0.0001062011,0.0003293777,0.0003325846,0.005167381,0.9666498,0.00004285769],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005874886,0.9989423,0.0001629955,0.000259555,0.00009681904,0.00000378534,0.00001230485,0.000005734185,0.0004576745],"genre_scores_gemma":[0.0003675942,0.9990682,0.0002005223,0.0001218276,0.0001092007,0.000004442896,0.00001628795,0.000001348825,0.0001106802],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003241737,"threshold_uncertainty_score":0.01084471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06528630599131584,"score_gpt":0.3391322463895536,"score_spread":0.2738459403982377,"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."}}