{"id":"W4404257765","doi":"10.29173/cjen461","title":"How attending the NENA conference changed patient flow in our ED: Implementation of a Rapid Assessment Zone","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Nursing","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Flow (mathematics); Medicine; Psychology; Computer science; Mechanics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01255747,0.0004069869,0.0004681326,0.0006162337,0.003491869,0.004347454,0.002631585,0.002114933,0.005845863],"category_scores_gemma":[0.05975838,0.0005296365,0.001115046,0.0006148955,0.001245002,0.002864315,0.003919801,0.002939855,0.0003773844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006379141,"about_ca_system_score_gemma":0.02712183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02496242,"about_ca_topic_score_gemma":0.04733479,"domain_scores_codex":[0.9882338,0.006426525,0.0007429083,0.0008448937,0.00143216,0.002319691],"domain_scores_gemma":[0.9637773,0.01605686,0.003415715,0.001933599,0.004203614,0.01061288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01471746,0.05352631,0.2216506,0.001276849,0.0008821401,0.001022405,0.04349072,0.009395282,0.005937585,0.004556531,0.0273135,0.6162306],"study_design_scores_gemma":[0.007519384,0.03942747,0.7569624,0.001535096,0.001697479,0.0005798163,0.08811606,0.0185507,0.007623203,0.005297689,0.07188807,0.0008026568],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804216,0.0001898542,0.001682719,0.01022426,0.0005989211,0.0007393883,0.000123774,0.0001860107,0.005833428],"genre_scores_gemma":[0.9891347,0.0001183444,0.0072962,0.001772925,0.00011625,0.0004585803,0.00007238692,0.00003747677,0.0009932477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02496242,"threshold_uncertainty_score":0.06641102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09139407252325,"score_gpt":0.4399222144387006,"score_spread":0.3485281419154506,"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."}}