{"id":"W3010090142","doi":"10.1007/s12072-020-10018-0","title":"Acute kidney injury: prediction, prognostication and optimisation for liver transplant","year":2020,"lang":"en","type":"review","venue":"Hepatology International","topic":"Liver Disease and Transplantation","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Medicine; Renal function; Acute kidney injury; Intravascular volume status; Nephrology; Hepatorenal syndrome; Kidney disease; Cirrhosis; Internal medicine; Liver transplantation; Kidney; Urology; Creatinine; Transplantation; Intensive care medicine; Cardiology; Gastroenterology; Hemodynamics","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":[0.002267277,0.00125386,0.004410534,0.002217589,0.0002570415,0.00177562,0.001463212,0.001524578,0.003390549],"category_scores_gemma":[0.004015012,0.0004015404,0.001813808,0.002488197,0.0005426483,0.001421672,0.000946479,0.002635519,0.00118457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158259,"about_ca_system_score_gemma":0.002728359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002906681,"about_ca_topic_score_gemma":0.005847241,"domain_scores_codex":[0.9993125,0.0001650974,0.0001601519,0.0001183076,0.0001992165,0.00004479416],"domain_scores_gemma":[0.9974589,0.00145048,0.0004362654,0.00004160644,0.0005076123,0.0001052251],"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":[0.000291828,0.00008837694,0.0007117977,0.0380775,0.0006979248,0.00006099431,0.00002984209,0.0005791716,0.0002185357,0.001685351,0.02408516,0.9334735],"study_design_scores_gemma":[0.0005179084,0.0007201576,0.01088842,0.1038368,0.007406317,0.001470711,0.0002605675,0.001367465,0.0005648444,0.007931407,0.8648626,0.0001729023],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004953468,0.9992112,0.00007696888,0.0003670424,0.0001240389,0.000003662739,0.00002142089,0.000004784983,0.0001411965],"genre_scores_gemma":[0.0006039605,0.9984328,0.0001970179,0.0003757862,0.0002582656,0.000007225727,0.00003751857,0.000001381655,0.00008594051],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004410534,"threshold_uncertainty_score":0.01199061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0363504922844776,"score_gpt":0.3364516759261146,"score_spread":0.300101183641637,"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."}}