{"id":"W2779022724","doi":"10.5770/cgj.20.276","title":"Geriatric Delirium Care: Using Chart Audits to Target Improvement Strategies","year":2017,"lang":"en","type":"article","venue":"Canadian Geriatrics Journal","topic":"Intensive Care Unit Cognitive Disorders","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sinai Health System; Mount Sinai Hospital","funders":"","keywords":"Delirium; Medicine; Audit; Guideline; Emergency medicine; Odds ratio; Odds; Chart; Geriatrics; Incidence (geometry); Intensive care medicine; Logistic regression; Psychiatry; Internal medicine; Accounting","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0528417,0.000844943,0.0009890189,0.006606991,0.001100634,0.003033842,0.001207343,0.000582888,0.0006906547],"category_scores_gemma":[0.1117501,0.0004610491,0.0003824359,0.005285128,0.0006263783,0.003194078,0.001959926,0.001082625,0.0001633021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00405153,"about_ca_system_score_gemma":0.01205729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0315998,"about_ca_topic_score_gemma":0.04284753,"domain_scores_codex":[0.9697977,0.02239929,0.002859859,0.0008790521,0.003230703,0.0008333741],"domain_scores_gemma":[0.9270651,0.02920415,0.01774368,0.003622398,0.01862294,0.003741729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005360333,0.0007355986,0.5784249,0.001326776,0.0002352613,0.0001444537,0.004144217,0.00271715,0.0003127214,0.0007347902,0.01203846,0.3986495],"study_design_scores_gemma":[0.000568117,0.002446149,0.9295358,0.00405422,0.0003238157,0.0003085896,0.01223567,0.0306744,0.001283385,0.002943806,0.01541365,0.0002123836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.894055,0.0119138,0.04185645,0.01357894,0.0007950505,0.008585521,0.002904501,0.002299428,0.02401133],"genre_scores_gemma":[0.9419157,0.003632946,0.05041922,0.0006501607,0.0001228679,0.001931199,0.0009800767,0.0000357414,0.0003121134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0528417,"threshold_uncertainty_score":0.279457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01981918417376756,"score_gpt":0.2828535504009799,"score_spread":0.2630343662272124,"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."}}