{"id":"W2732018713","doi":"10.1093/geroni/igx004.4427","title":"PREDICT - PREDICTING EMERGENCY DEPARTMENT INCIDENT DELIRIUM WITH AN INTERACTIVE COMPUTER TABLET","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Université Laval; Sunnybrook Hospital; University of Toronto","funders":"","keywords":"Emergency department; Delirium; Computer science; Medical emergency; Emergency medicine; Medicine; Intensive care medicine; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005910971,0.0006019234,0.0005067801,0.0006590246,0.0002293346,0.0008329675,0.0003610152,0.0003913475,0.003560639],"category_scores_gemma":[0.00569555,0.0001708378,0.000788781,0.0004514905,0.0001344705,0.0004442281,0.0003936499,0.0003652775,0.0006214855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004546443,"about_ca_system_score_gemma":0.0005468701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008311006,"about_ca_topic_score_gemma":0.01208234,"domain_scores_codex":[0.9994956,0.0001618356,0.00007207957,0.00008792406,0.0001065919,0.00007585248],"domain_scores_gemma":[0.9977499,0.0006544566,0.000762371,0.00009006983,0.0003559013,0.0003873089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006355322,0.0007502454,0.9491927,0.0003739183,0.0003339957,0.0001012316,0.00008200441,0.000599142,0.0004982193,0.0000426267,0.001659521,0.04001111],"study_design_scores_gemma":[0.0005006251,0.004535626,0.9856231,0.0002025133,0.0003978797,0.0003672848,0.0001732606,0.006340558,0.0005329114,0.0001109003,0.001178088,0.00003710552],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994575,0.0008606868,0.0004907164,0.0001799775,0.0000378646,0.0002463174,0.001245026,0.00007678643,0.002287525],"genre_scores_gemma":[0.9974161,0.0003053819,0.001127369,0.00006921686,0.00001706636,0.00007918478,0.0005181145,0.000003494219,0.0004639576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008311006,"threshold_uncertainty_score":0.01652527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02418607896096572,"score_gpt":0.3287851920065291,"score_spread":0.3045991130455634,"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."}}