{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001601675,0.0003717925,0.0003863657,0.001216252,0.005781647,0.002677181,0.001064147,0.00236041,0.01233763],"category_scores_gemma":[0.01520618,0.0004152867,0.0005299541,0.002199901,0.001890399,0.004133556,0.001909228,0.003920021,0.0005031615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003680405,"about_ca_system_score_gemma":0.01141133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.125108,"about_ca_topic_score_gemma":0.1971159,"domain_scores_codex":[0.9987914,0.0002597431,0.00008583195,0.00006353973,0.0001633148,0.0006361934],"domain_scores_gemma":[0.991089,0.001496365,0.002422302,0.0001580445,0.0008994119,0.003934864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001432739,0.001177967,0.8318907,0.0007521876,0.0001062561,0.005028009,0.05827792,0.0001770713,0.0003392892,0.008032735,0.04458322,0.04820184],"study_design_scores_gemma":[0.00009021244,0.0003680154,0.6731878,0.0005113136,0.00009512009,0.002378592,0.3078126,0.000264403,0.00007423802,0.002785334,0.01235164,0.00008068889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540265,0.002475415,0.00007319861,0.02929997,0.0005289075,0.00005847545,0.000280115,0.000006495618,0.01325092],"genre_scores_gemma":[0.9957237,0.001295047,0.00008104669,0.001762089,0.000299446,0.00002280655,0.0001026058,0.000006745963,0.000706465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.125108,"threshold_uncertainty_score":0.2487596,"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."}}