{"id":"W1946669021","doi":"10.1111/acem.12694","title":"What U.S. Emergency Care Value Transformation Can Learn From Canadian Efforts to Improve Emergency Department Throughput","year":2015,"lang":"en","type":"letter","venue":"Academic Emergency Medicine","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychological intervention; Payment; Emergency department; Medicine; Multidisciplinary approach; Accountability; Health care; Service (business); Human services; Quality (philosophy); Public relations; Nursing; Business; Marketing; Finance; Economic growth; Political science","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":[0.01360544,0.001004981,0.0008823953,0.003301408,0.01847134,0.01818523,0.003314327,0.006707027,0.01194643],"category_scores_gemma":[0.04035286,0.0006283963,0.001583401,0.007226925,0.01056718,0.009531737,0.006392457,0.0108911,0.001415176],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1255513,"about_ca_system_score_gemma":0.2998529,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9650474,"about_ca_topic_score_gemma":0.9854681,"domain_scores_codex":[0.9862678,0.001815847,0.000445478,0.0006684972,0.006041993,0.004760313],"domain_scores_gemma":[0.9594874,0.007442801,0.001373406,0.001311984,0.02055382,0.009830665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009059232,0.00007640812,0.009139523,0.0007641063,0.000102544,0.0002678988,0.006546009,0.0004826888,0.0001179142,0.03374089,0.8032989,0.1453725],"study_design_scores_gemma":[0.00005731138,0.00007244589,0.0252397,0.002943701,0.0001135041,0.000172261,0.01863007,0.0004729388,0.0002986708,0.02281127,0.9289578,0.000230251],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003258856,0.02495517,0.0005490904,0.9352185,0.009554673,0.00002736381,0.0005218269,0.00008516291,0.02582931],"genre_scores_gemma":[0.2924124,0.1657821,0.005557795,0.4914021,0.01765109,0.0001235863,0.00174778,0.0005316917,0.02479147],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8744487,"threshold_uncertainty_score":0.9109429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03021970293452864,"score_gpt":0.322710776419637,"score_spread":0.2924910734851083,"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."}}