{"id":"W4221054761","doi":"10.1002/hep.32448","title":"Improving the Model for End‐Stage Liver Disease with sodium by incorporating kidney dysfunction types","year":2022,"lang":"en","type":"article","venue":"Hepatology","topic":"Liver Disease and Transplantation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute on Aging","keywords":"Medicine; Kidney disease; Renal function; Creatinine; Internal medicine; Hemodialysis; Cohort; Liver disease; Urology; Gastroenterology; Acute kidney injury; Model for End-Stage Liver Disease; Nephrology; Surgery; Liver transplantation; Transplantation","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":[0.009362442,0.001576033,0.001351089,0.001117246,0.0005721868,0.001544104,0.002156252,0.0009179697,0.002671486],"category_scores_gemma":[0.01339601,0.0005642881,0.002532732,0.0005424199,0.0003625093,0.0009003836,0.00114221,0.001935684,0.0009542793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008120949,"about_ca_system_score_gemma":0.002339144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01084881,"about_ca_topic_score_gemma":0.008793079,"domain_scores_codex":[0.9970117,0.001982975,0.0001510408,0.0004338723,0.0002155955,0.000204846],"domain_scores_gemma":[0.9916968,0.00595356,0.0006145916,0.0004391505,0.000942602,0.0003532193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001855845,0.0005862172,0.3807479,0.0001261683,0.002953618,0.0004432805,0.0001310055,0.5669123,0.002245155,0.001239888,0.00484337,0.03791539],"study_design_scores_gemma":[0.00005693039,0.0002055885,0.01313271,0.00001666216,0.0001624863,0.0000998188,0.00001888473,0.9844556,0.0002952174,0.0009501379,0.0005781597,0.00002779945],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7353532,0.0009189907,0.2551207,0.002299236,0.0003851209,0.0001867688,0.002281379,0.00168138,0.001773332],"genre_scores_gemma":[0.9734871,0.0001276141,0.02328039,0.0002453965,0.00008335955,0.00008317279,0.001153337,0.0001170745,0.001422548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01084881,"threshold_uncertainty_score":0.04951394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523310316775003,"score_gpt":0.2260775588587361,"score_spread":0.2108444556909861,"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."}}