{"id":"W2767150587","doi":"10.2215/cjn.00950117","title":"Health Care Costs Associated with AKI","year":2017,"lang":"en","type":"article","venue":"Clinical Journal of the American Society of Nephrology","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics; McMaster University; University of Calgary; University of Alberta","funders":"Canadian Institutes of Health Research; Government of Alberta; Alberta Health Services","keywords":"Medicine; Acute kidney injury; Dialysis; Confidence interval; Renal function; Creatinine; Population; Emergency medicine; Kidney disease; Intensive care medicine; Rifle; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0016731,0.0001324555,0.001245765,0.00002657456,0.000291663,0.00001419609,0.0008734357,0.0001169134,0.00002524743],"category_scores_gemma":[0.001450047,0.00007501707,0.0008322961,0.0001413763,0.004654218,0.00006445354,0.0002467019,0.001273497,0.000003545383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002355984,"about_ca_system_score_gemma":0.001564718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001188354,"about_ca_topic_score_gemma":0.00002378422,"domain_scores_codex":[0.9975197,0.0005076917,0.0008711924,0.0001727163,0.0005597574,0.0003689651],"domain_scores_gemma":[0.9934083,0.0007357066,0.003893162,0.0007785888,0.0008038761,0.0003803575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001835833,0.0003193832,0.3805214,0.00002488619,0.001311379,0.00002348194,0.0004200214,4.235608e-7,0.0004699876,0.000008418618,0.5888149,0.0262499],"study_design_scores_gemma":[0.004155775,0.01028837,0.9324197,0.0001903009,0.0002221467,0.0002541909,0.001345478,0.00002552674,0.00005818982,0.0000295767,0.05092865,0.00008214275],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.839425,0.0002106262,0.00005599806,0.1596383,0.0001510345,0.0001870499,0.00003149377,0.000006698698,0.000293815],"genre_scores_gemma":[0.9223536,0.0006145267,0.002515959,0.07393854,0.0003957024,0.000001551156,0.000002958787,0.00002190383,0.0001553171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5518982,"threshold_uncertainty_score":0.9980546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0693603141166464,"score_gpt":0.4589993633225186,"score_spread":0.3896390492058722,"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."}}