{"id":"W3110262930","doi":"10.5770/cgj.23.421","title":"Older Emergency Department Patients: Does Baseline Care Status Matter?","year":2020,"lang":"en","type":"article","venue":"Canadian Geriatrics Journal","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; Université Laval; University of Waterloo; McMaster University; Impact","funders":"","keywords":"Medicine; Emergency department; Odds; Logistic regression; Minimum Data Set; Descriptive statistics; Odds ratio; Family medicine; Cohort; Gerontology; Nursing homes; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001583264,0.0002129586,0.0005052889,0.0007726936,0.0007570844,0.001118035,0.0005510119,0.000768219,0.002077196],"category_scores_gemma":[0.009745409,0.0001291748,0.000492336,0.001832346,0.0006308997,0.0007965375,0.0005045812,0.0008339269,0.000211984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546995,"about_ca_system_score_gemma":0.002052381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09749806,"about_ca_topic_score_gemma":0.1384499,"domain_scores_codex":[0.9990515,0.0001805413,0.0001493103,0.0001525572,0.0002407848,0.0002251835],"domain_scores_gemma":[0.9957005,0.0009023873,0.001898903,0.0001334985,0.0006330473,0.0007316092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006687077,0.00001625794,0.9986292,0.0000137005,0.00002580824,0.00002719093,0.00006105276,0.00001558363,0.00001527802,0.00001140965,0.0001252719,0.0009923793],"study_design_scores_gemma":[0.000003094519,0.00003379916,0.999506,0.00001925348,0.00001307556,0.00005132895,0.0001936202,0.00005041572,0.000007890835,0.00002218805,0.00009683099,0.000002480749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957594,0.001008913,0.00006055711,0.0005685286,0.00002072926,0.00002092842,0.001113859,0.00000455523,0.001442402],"genre_scores_gemma":[0.9991252,0.0001746354,0.0000366244,0.00006772252,0.00001559349,0.000005820509,0.0005126034,0.000001018331,0.00006081026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09749806,"threshold_uncertainty_score":0.1938611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01876535523173466,"score_gpt":0.3095593735727886,"score_spread":0.290794018341054,"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."}}