{"id":"W3209056882","doi":"10.1016/j.annemergmed.2021.09.308","title":"295 Positive Cognition Screening a Geriatric Emergency Department","year":2021,"lang":"en","type":"article","venue":"Annals of Emergency Medicine","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Emergency department; Logistic regression; Odds ratio; Confidence interval; Cognition; Montreal Cognitive Assessment; Psychological intervention; Cognitive test; Trauma center; Geriatrics; Test (biology); Gerontology; Family medicine; Retrospective cohort study; Emergency medicine; Psychiatry; Cognitive impairment; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005935842,0.0004200267,0.0004420549,0.001673445,0.0007982639,0.001164869,0.0003481479,0.0005940396,0.003453873],"category_scores_gemma":[0.005335788,0.0001913952,0.000556412,0.001026445,0.0003707263,0.0005930563,0.0005353255,0.0006933302,0.0004743387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005762845,"about_ca_system_score_gemma":0.0009217317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007209552,"about_ca_topic_score_gemma":0.01375679,"domain_scores_codex":[0.9994635,0.0001169745,0.00008500207,0.00003988708,0.0001473641,0.0001473641],"domain_scores_gemma":[0.9984475,0.0003696604,0.0003762696,0.00005256979,0.0003571273,0.0003969749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002002734,0.0001786574,0.9935672,0.0000456271,0.00006232359,0.0009708366,0.0001293307,0.00002038091,0.000162686,0.00006399149,0.000848681,0.003750006],"study_design_scores_gemma":[0.00002304072,0.0002473138,0.9964844,0.00005691577,0.00008202736,0.001498712,0.0006792636,0.00005967748,0.0001037371,0.0001313533,0.0006239688,0.000009498815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870007,0.001012788,0.00004866749,0.0004560531,0.0001096512,0.00004000096,0.0004203793,0.000006092572,0.01090568],"genre_scores_gemma":[0.9987124,0.0002758493,0.00006639819,0.0002290383,0.00006256263,0.00001221025,0.0002250057,0.000001020532,0.0004155475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007209552,"threshold_uncertainty_score":0.01433516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1013038526830026,"score_gpt":0.3933855403740773,"score_spread":0.2920816876910747,"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."}}