{"id":"W4404296925","doi":"10.29173/cjen309","title":"Emergency department overcrowding: Waiting for disaster","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Nursing","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Overcrowding; Emergency department; Medical emergency; Medicine; Political science; Nursing","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":[0.0002501303,0.000223119,0.0003883597,0.0002838898,0.0003943002,0.000009803525,0.0001371773,0.00008236335,0.0006150138],"category_scores_gemma":[0.0003248837,0.0002029454,0.0004536735,0.0002816397,0.00005700503,0.0002023467,0.000005645647,0.0002150249,0.00000732295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003795238,"about_ca_system_score_gemma":0.0007123112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000301737,"about_ca_topic_score_gemma":0.002453092,"domain_scores_codex":[0.9981096,0.00001804851,0.0008416756,0.0001957176,0.0002227618,0.0006122178],"domain_scores_gemma":[0.9982508,0.00001261585,0.0002618517,0.0001658885,0.000561455,0.0007473868],"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":[0.000732952,0.0008108179,0.1330594,0.00111413,0.002647316,0.001169377,0.04216983,0.001107202,0.01778233,0.03349281,0.70903,0.05688379],"study_design_scores_gemma":[0.02027503,0.009807213,0.09653282,0.01447593,0.007441214,0.003608879,0.0560728,0.0004393366,0.02304161,0.1057476,0.6577449,0.004812659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9412935,0.01882001,0.004865874,0.008499524,0.01465187,0.0005524362,0.00006209291,0.0000199532,0.01123478],"genre_scores_gemma":[0.9952702,0.0008350314,0.001895044,0.0001252712,0.001469703,0.00000798062,0.00001401775,0.00004354505,0.0003392132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07225484,"threshold_uncertainty_score":0.8275873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04106720399942763,"score_gpt":0.3270923214329604,"score_spread":0.2860251174335327,"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."}}