{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00147716,0.0002564767,0.0003485403,0.0004957911,0.0004028234,0.0009887038,0.0003039991,0.0004235376,0.002208322],"category_scores_gemma":[0.004644927,0.00008914653,0.0007088323,0.0006045282,0.000405012,0.0005898555,0.0008127735,0.001088998,0.0002030404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005355995,"about_ca_system_score_gemma":0.0006762948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00158886,"about_ca_topic_score_gemma":0.001863483,"domain_scores_codex":[0.9991166,0.0002182154,0.0001065066,0.0001024846,0.0002136848,0.0002425059],"domain_scores_gemma":[0.992432,0.001272923,0.004314756,0.0001972687,0.0005678178,0.001215128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001726371,0.00003565542,0.9971301,0.00002862293,0.00009783183,0.0001117211,0.00001849673,0.00009089662,0.00009920458,0.00002037891,0.00008128176,0.002113103],"study_design_scores_gemma":[0.00000351668,0.0001229113,0.9990847,0.00002134799,0.00006118632,0.0003162723,0.00003601691,0.0001390217,0.00005577845,0.0000476281,0.0001079732,0.000003618346],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961999,0.002257172,0.0001542515,0.000319707,0.00002784719,0.000006474299,0.0002702389,0.000007142337,0.0007573117],"genre_scores_gemma":[0.9992536,0.0003086279,0.00003397467,0.00004687642,0.00004123253,0.000003007148,0.0002450081,0.000001289545,0.00006643316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002208322,"threshold_uncertainty_score":0.007812083,"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."}}