{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006291036,0.0002350446,0.0006092761,0.0001857704,0.00005845069,0.00002088841,0.00009297467,0.0002780333,0.0001011086],"category_scores_gemma":[0.00003503481,0.0002079156,0.0002032627,0.00007770754,0.00006461549,0.000113497,0.00001234785,0.0001809808,0.00003808604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008607519,"about_ca_system_score_gemma":0.0004393464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005004757,"about_ca_topic_score_gemma":6.759428e-7,"domain_scores_codex":[0.9988039,0.00004684231,0.0004260528,0.0004106891,0.0001778291,0.0001346766],"domain_scores_gemma":[0.9992732,0.00009571458,0.0001762004,0.0001049729,0.0001554377,0.0001944616],"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":[0.002231585,0.0004620636,0.01160939,0.03751358,0.01605762,0.000485324,0.001343907,1.522909e-7,0.00002165839,0.01218339,0.0153851,0.9027063],"study_design_scores_gemma":[0.001057888,0.0002423416,0.0002213624,0.002772071,0.01409396,0.0009547647,0.000003468049,0.001736459,0.00001786155,0.00009778423,0.9786111,0.0001909456],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001290667,0.962396,0.01104057,0.002892542,0.001363367,0.004149438,0.01713989,0.000237601,0.0006514916],"genre_scores_gemma":[0.001009315,0.973943,0.00108676,0.000459609,0.0003806726,0.00059105,0.0223947,0.00003328158,0.0001016067],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.963226,"threshold_uncertainty_score":0.8478554,"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."}}