{"id":"W2548885205","doi":"10.1111/ctr.12863","title":"Impact of acute kidney injury following liver transplantation on long‐term outcomes","year":2016,"lang":"en","type":"article","venue":"Clinical Transplantation","topic":"Liver Disease and Transplantation","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Acute kidney injury; Kidney disease; Internal medicine; Incidence (geometry); Creatinine; Proportional hazards model; Calcineurin; Liver transplantation; Transplantation; Cohort; Renal function; Kidney transplantation; Stage (stratigraphy); Gastroenterology","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":[0.0003270693,0.0002794514,0.0005636076,0.0001983631,0.00006762019,0.0000126634,0.0001121544,0.0002274502,0.000214124],"category_scores_gemma":[0.00002597422,0.0001741064,0.00102867,0.0001671298,0.0001101342,0.000365166,0.00000300286,0.0001727882,0.0001305106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006131106,"about_ca_system_score_gemma":0.0002084405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002871606,"about_ca_topic_score_gemma":0.000003510297,"domain_scores_codex":[0.9977756,0.0001657556,0.0008726907,0.0004427837,0.0004587068,0.0002844553],"domain_scores_gemma":[0.9985212,0.000486764,0.0002011861,0.0002980542,0.00009774396,0.0003950507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008096427,0.0005730891,0.9679727,0.0004930109,0.002386705,0.001129415,0.0004075046,8.860036e-7,0.01055161,0.000112258,0.00005492667,0.008221484],"study_design_scores_gemma":[0.008161902,0.001733353,0.9722524,0.00104295,0.005931846,0.00007449596,0.000002316071,0.000009062333,0.01049852,0.00007447414,0.000002129044,0.0002164956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890072,0.00001604991,0.007606337,0.0002633883,0.0003874797,0.0005538417,0.00147076,0.0001001467,0.0005947737],"genre_scores_gemma":[0.9923522,0.005660802,0.0002409933,0.0003949001,0.0001182079,0.00002177751,0.001030501,0.00003644445,0.0001441122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008004989,"threshold_uncertainty_score":0.7099851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05252626475328753,"score_gpt":0.41115455830895,"score_spread":0.3586282935556625,"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."}}