{"id":"W3008761194","doi":"10.1093/jcag/gwz047.095","title":"A96 PERIOPERATIVE RATE OF CHANGE IN SODIUM CONCENTRATION AND ITS IMPACT ON LENGTH OF STAY IN CRITICAL CARE UNIT POST LIVER TRANSPLANTATION: BENCHMARKING FOR QUALITY MANAGEMENT PROGRAM","year":2020,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Organ Transplantation Techniques and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre","funders":"","keywords":"Medicine; Liver transplantation; Cirrhosis; Perioperative; Liver disease; Transplantation; Intensive care unit; Hepatic encephalopathy; Gastroenterology; Internal medicine; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009490629,0.0002548608,0.0004017215,0.002545227,0.0004121236,0.001564405,0.0005955388,0.0002051518,0.0008452455],"category_scores_gemma":[0.0170524,0.0001356956,0.0005516672,0.003394237,0.0002935488,0.000893765,0.001057063,0.0003529245,0.0001712844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002281691,"about_ca_system_score_gemma":0.002499876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007989506,"about_ca_topic_score_gemma":0.006179906,"domain_scores_codex":[0.9914799,0.002902307,0.002186737,0.00084075,0.002123458,0.0004669052],"domain_scores_gemma":[0.975154,0.004454823,0.009818732,0.001011186,0.008110758,0.001450468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001335781,0.00007306389,0.9714074,0.0001403664,0.00007266074,0.00002296056,0.0003314423,0.0004171712,0.0002363199,0.00008152732,0.0006475825,0.02643595],"study_design_scores_gemma":[0.00001018097,0.0005332344,0.9941836,0.0001076545,0.00004828753,0.0000623251,0.000916773,0.001935188,0.0009892668,0.00006525083,0.001133153,0.00001518269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835465,0.001200429,0.00606969,0.0006241828,0.00005361327,0.0003687513,0.004067009,0.0001448893,0.003924968],"genre_scores_gemma":[0.9935812,0.0003034425,0.003438157,0.00004605574,0.00001666672,0.0001987777,0.002187304,0.00001049684,0.0002178101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009490629,"threshold_uncertainty_score":0.05019182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04849584149792683,"score_gpt":0.3633114441252599,"score_spread":0.314815602627333,"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."}}