{"id":"W2133021964","doi":"10.1186/cc10318","title":"Oliguria as predictive biomarker of acute kidney injury in critically ill patients","year":2011,"lang":"en","type":"article","venue":"Critical Care","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":251,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Jikei University School of Medicine; University of Alberta; University of Pittsburgh; Monash University; Alexander von Humboldt-Stiftung","keywords":"Medicine; Oliguria; Critically ill; Acute kidney injury; Intensive care medicine; Biomarker; Predictive value; Critical illness; Internal medicine; Renal function","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009692573,0.0004164502,0.0005468175,0.001026923,0.0002390836,0.000764735,0.0002615442,0.0003022268,0.0005650963],"category_scores_gemma":[0.00556023,0.0001304426,0.000214779,0.0009639707,0.0002485842,0.000497217,0.0005010818,0.0004924433,0.0001320601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002540067,"about_ca_system_score_gemma":0.0004949978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007095345,"about_ca_topic_score_gemma":0.0008854994,"domain_scores_codex":[0.9993616,0.000258889,0.000089537,0.00007417662,0.0001503634,0.00006540348],"domain_scores_gemma":[0.9961009,0.001079911,0.001749795,0.00008110979,0.0004287855,0.0005594339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002936548,0.00002280973,0.9951099,0.00002580787,0.00002841263,0.00007627442,0.00002607908,0.0001979012,0.0002735853,0.00001234022,0.00009198705,0.003841381],"study_design_scores_gemma":[0.00001926775,0.0005293918,0.9939085,0.00005039871,0.00008548942,0.0006759059,0.000129056,0.003362801,0.0006274824,0.0001211682,0.0004751488,0.00001539922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956263,0.002840762,0.0007371011,0.0001349045,0.00002872105,0.00001990983,0.0001854545,0.00002268181,0.0004040944],"genre_scores_gemma":[0.9988299,0.0003126489,0.0005629861,0.00002631183,0.00003560007,0.00001347236,0.0001726498,0.000001739702,0.00004474086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001026923,"threshold_uncertainty_score":0.005125999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03352344725738531,"score_gpt":0.363678153657874,"score_spread":0.3301547064004887,"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."}}