{"id":"W3196524691","doi":"10.1093/ndt/gfab263","title":"Urinary biomarkers predict progression and adverse outcomes of acute kidney injury in critical illness","year":2021,"lang":"en","type":"article","venue":"Nephrology Dialysis Transplantation","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"UCD Foundation; Health Research Board","keywords":"Medicine; Critical illness; Acute kidney injury; Urinary system; Intensive care medicine; Adverse effect; Biomarker; Kidney disease; Internal medicine; Critically ill","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":[0.001828519,0.0006468348,0.000498082,0.001067469,0.0002387988,0.000775009,0.0003384156,0.0004188983,0.0008612518],"category_scores_gemma":[0.008422761,0.0001555676,0.0004691314,0.0007072213,0.0002543869,0.0005530071,0.0006098421,0.001052109,0.0001785208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003792802,"about_ca_system_score_gemma":0.0006524862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001260501,"about_ca_topic_score_gemma":0.001497298,"domain_scores_codex":[0.9993415,0.00020779,0.00008654643,0.00009111533,0.0001762665,0.00009669262],"domain_scores_gemma":[0.9926937,0.001681302,0.003505919,0.0001871096,0.001058686,0.0008733429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002921819,0.00004906147,0.9952251,0.00003098898,0.00008847578,0.00001937428,0.00001689875,0.0002136528,0.0001407669,0.00001516766,0.0001664399,0.003741984],"study_design_scores_gemma":[0.00003075948,0.0003382238,0.9953887,0.00005757594,0.0001172322,0.0002193183,0.0000464702,0.002830851,0.0003816198,0.0002114759,0.0003659487,0.0000117069],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953252,0.002540886,0.0006693177,0.000259182,0.00004074247,0.00003917903,0.0004844486,0.00001950807,0.0006215219],"genre_scores_gemma":[0.9984012,0.0003021493,0.0006618222,0.00003942523,0.00004028192,0.00001434459,0.0004534371,0.000002910442,0.00008450522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001828519,"threshold_uncertainty_score":0.009670258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491179479326479,"score_gpt":0.3512401555595994,"score_spread":0.3363283607663347,"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."}}