{"id":"W2730885964","doi":"10.1093/geroni/igx004.4829","title":"FRAILTY ASSESSMENT TO HELP PREDICT PATIENTS AT RISK OF ED-INDUCED DELIRIUM","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Hematological disorders and diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre intégré de santé et de services sociaux de Chaudière-Appalaches; Cegep regional de Lanaudiere; Université Laval; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre intégré universitaire de santé et de services sociaux de la Mauricie-et-du-Centre-du-Québec; Université du Québec; Centre Intégré de Santé et de Services Sociaux des Laurentides; Quebec Rehabilitation Research Network","funders":"","keywords":"Delirium; Medicine; Emergency department; Triage; Prospective cohort study; Incidence (geometry); Emergency medicine; Cohort study; Adverse effect; Cohort; Intensive care medicine; Internal 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":[0.0006950632,0.0004909756,0.0005817309,0.001490423,0.0004442719,0.0007470225,0.0002960929,0.0004740976,0.002810653],"category_scores_gemma":[0.002802699,0.0001335095,0.0005862648,0.0005525518,0.0001365369,0.0004299718,0.0006559779,0.00070983,0.0005341863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003677757,"about_ca_system_score_gemma":0.0005859807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003226187,"about_ca_topic_score_gemma":0.006647716,"domain_scores_codex":[0.9997782,0.00005194066,0.00004831338,0.00002605491,0.00004819801,0.00004738452],"domain_scores_gemma":[0.9990772,0.0001247,0.0003024271,0.00002303865,0.0002122923,0.0002604445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003405968,0.0001785882,0.9790942,0.0000897615,0.00005086536,0.0001703306,0.0001096413,0.0001125898,0.0002332946,0.00003322417,0.001604034,0.01798283],"study_design_scores_gemma":[0.00005268481,0.0007560997,0.9953471,0.0002566768,0.00007705386,0.0005147063,0.0003135137,0.001197183,0.0001584861,0.0002114445,0.001097817,0.00001737281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896713,0.003270534,0.0005156189,0.00145134,0.0001070059,0.0001587,0.0009863615,0.00003813045,0.003801042],"genre_scores_gemma":[0.9965145,0.0008003084,0.001079938,0.0001840728,0.00006309897,0.00006139803,0.0007436169,0.000002594086,0.0005505356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003226187,"threshold_uncertainty_score":0.009402573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04568896709185485,"score_gpt":0.3599686421457941,"score_spread":0.3142796750539393,"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."}}