{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009181179,0.0004263062,0.000398522,0.001226325,0.0002385779,0.0009147283,0.0004970441,0.0003841745,0.002084952],"category_scores_gemma":[0.0089586,0.0001417168,0.0007469691,0.001948197,0.0002475083,0.0006224414,0.0007087225,0.0007903821,0.0002051786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002099134,"about_ca_system_score_gemma":0.001552255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008608651,"about_ca_topic_score_gemma":0.007380287,"domain_scores_codex":[0.9980038,0.0009387325,0.0002898566,0.0001188009,0.0004643669,0.000184524],"domain_scores_gemma":[0.9954742,0.0009416765,0.002562988,0.00009416539,0.0004250506,0.0005019306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002561366,0.0001165597,0.959164,0.0004258438,0.0007162117,0.0002620279,0.00008202004,0.003433673,0.00007566135,0.001385719,0.008506279,0.02557574],"study_design_scores_gemma":[0.0001009672,0.000311324,0.9783137,0.0005521195,0.0003428812,0.001169819,0.0004690024,0.01102595,0.0001355929,0.002452126,0.005096615,0.0000299816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9519655,0.01276567,0.001582053,0.009306348,0.000285605,0.0001310211,0.01551577,0.00006122025,0.008386792],"genre_scores_gemma":[0.9901229,0.003444529,0.0007683028,0.000536794,0.0002510572,0.00007021195,0.004552703,0.000006943059,0.0002465646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008608651,"threshold_uncertainty_score":0.01711708,"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."}}