{"id":"W2583426533","doi":"10.12788/jhm.2683","title":"Cost of Acute Kidney Injury in Hospitalized Patients","year":2017,"lang":"en","type":"article","venue":"Journal of Hospital Medicine","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":212,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; National Institute of Diabetes and Digestive and Kidney Diseases; Kidney Foundation of Canada","keywords":"Medicine; Acute kidney injury; Confidence interval; Dialysis; Pneumonia; Emergency medicine; Myocardial infarction; Internal medicine; Demographics; Kidney disease; Intensive care medicine; Healthcare Cost and Utilization Project; Health care","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009461385,0.0002334175,0.001132775,0.0005397562,0.00008432664,0.00001820913,0.0006642747,0.0001537285,0.0004243049],"category_scores_gemma":[0.005974259,0.0001580086,0.0002013813,0.0002048358,0.0006524271,0.0004446496,0.0001726438,0.0007354552,0.00001523084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001879509,"about_ca_system_score_gemma":0.0004556412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000630408,"about_ca_topic_score_gemma":3.815379e-7,"domain_scores_codex":[0.9967713,0.0000577826,0.001215069,0.0001999703,0.001356396,0.0003994201],"domain_scores_gemma":[0.9958546,0.00004904439,0.001403866,0.0007151022,0.001142671,0.000834733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002041562,0.0009821466,0.7950723,0.0001181059,0.0004324639,0.0005778561,0.000678896,2.316256e-8,0.002209314,0.00003777544,0.1920969,0.005752695],"study_design_scores_gemma":[0.01872962,0.02099418,0.9447797,0.002010902,0.0004227872,0.00006805505,0.0001071453,0.00001503128,0.003594388,0.0002567949,0.008841337,0.0001800881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677802,0.00008281412,0.00003083386,0.02535885,0.00172614,0.0006765277,0.0001460566,0.000007642421,0.004190949],"genre_scores_gemma":[0.9971336,0.0005562886,0.0005509164,0.0006603513,0.0005857032,0.000009610177,0.00003219361,0.00003626303,0.0004351426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1832556,"threshold_uncertainty_score":0.7152177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02445758033028117,"score_gpt":0.3726106403254152,"score_spread":0.3481530599951341,"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."}}