{"id":"W4381426216","doi":"10.29173/cjen206","title":"International Federation of Emergency Medicine campaign on crowding","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Nursing","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Crowding; Political science; Medical emergency; Medicine; Psychology","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":[0.008534516,0.000727835,0.0002810213,0.001379424,0.002879316,0.003624025,0.0008683864,0.002954705,0.03151844],"category_scores_gemma":[0.02372266,0.0002560106,0.0004095188,0.0009043583,0.001299476,0.002822535,0.003706059,0.003756643,0.007678497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002153729,"about_ca_system_score_gemma":0.005931339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008737034,"about_ca_topic_score_gemma":0.01073935,"domain_scores_codex":[0.9947602,0.001696426,0.0002988169,0.0003048576,0.001712029,0.001227696],"domain_scores_gemma":[0.9758399,0.007464885,0.002701336,0.001201723,0.004986555,0.007805605],"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":[0.000167902,0.000426621,0.01395063,0.0006194327,0.00002259675,0.0001940729,0.003673066,0.00009713855,0.0007715143,0.004028484,0.8577207,0.1183278],"study_design_scores_gemma":[0.00008339716,0.0004393605,0.04907477,0.001072988,0.00002768435,0.0001450375,0.003242707,0.0002006674,0.001059988,0.0006123998,0.9439924,0.00004862491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07173937,0.006084201,0.002264554,0.3632464,0.0184667,0.002268748,0.007523708,0.001254636,0.5271518],"genre_scores_gemma":[0.4987319,0.008733879,0.006828391,0.1969886,0.01636475,0.005093214,0.009299219,0.0005961414,0.2573639],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03151844,"threshold_uncertainty_score":0.1054397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07061151753643867,"score_gpt":0.3700103733063093,"score_spread":0.2993988557698706,"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."}}