{"id":"W1915513264","doi":"10.5430/jha.v4n5p40","title":"Specialized fast track: a sustainable model to improve emergency department patient flow","year":2015,"lang":"en","type":"article","venue":"Journal of Hospital Administration","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overcrowding; Fast track; Medicine; Emergency department; Triage; Staffing; Crowding; Medical emergency; Emergency medicine; Nursing; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002187816,0.0001577853,0.000309005,0.00009168643,0.00006938203,0.0000183824,0.00006939578,0.00005415095,0.00005320429],"category_scores_gemma":[0.0003189872,0.000124092,0.0001819925,0.0001594848,0.00001804213,0.0002628955,0.00002462813,0.0001402503,0.00001162673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001936546,"about_ca_system_score_gemma":0.0004713673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003939967,"about_ca_topic_score_gemma":0.00000824477,"domain_scores_codex":[0.9983988,0.00001990107,0.0006756697,0.0001487139,0.0005105691,0.0002463342],"domain_scores_gemma":[0.9979659,0.000005870409,0.0002902672,0.0001288653,0.001247707,0.0003614081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.009556964,0.01076816,0.009943701,0.0005012639,0.001342639,0.003353079,0.03362547,0.002131324,0.007464989,0.009013363,0.8869643,0.0253347],"study_design_scores_gemma":[0.02335447,0.537522,0.01203179,0.0007340977,0.00310541,0.0009601378,0.1246748,0.01026077,0.1160887,0.03084685,0.1371285,0.003292483],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843166,0.0005828277,0.002432943,0.003499994,0.001540963,0.0005590309,0.00002067842,0.00001545659,0.007031461],"genre_scores_gemma":[0.9928691,0.000147157,0.004835261,0.0001211585,0.0006585589,0.00001787128,0.0000135538,0.00001482585,0.001322455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7498358,"threshold_uncertainty_score":0.5060325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673478118202109,"score_gpt":0.2928352675398165,"score_spread":0.2761004863577954,"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."}}