{"id":"W3048614515","doi":"10.1111/1742-6723.13612","title":"Early lessons from <scp>COVID</scp>‐19 that may reduce future emergency department crowding","year":2020,"lang":"en","type":"article","venue":"Emergency Medicine Australasia","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Dalhousie University; University of Toronto; Alberta Health Services; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Crowding; Medicine; Coronavirus disease 2019 (COVID-19); Emergency department; Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Crowding out; Medical emergency; Virology; Nursing; Internal medicine; Infectious disease (medical specialty); Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003441397,0.0009217699,0.00124977,0.0001980048,0.0005123293,0.000009211088,0.0005627097,0.0003729988,0.01308348],"category_scores_gemma":[0.00123988,0.0007562453,0.0005335872,0.001244505,0.0002211619,0.0003043019,0.0002148962,0.001016793,0.0003942421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001419423,"about_ca_system_score_gemma":0.0002077807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006083022,"about_ca_topic_score_gemma":0.00007452143,"domain_scores_codex":[0.9945303,0.0001634277,0.001441517,0.001402123,0.001261313,0.001201338],"domain_scores_gemma":[0.9966848,0.000108788,0.000436923,0.0008295145,0.0003154156,0.001624487],"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":[0.00006531963,0.000129659,0.2057626,0.000267058,0.0006858026,0.0002110307,0.009612497,0.00000485514,0.009383957,0.0003853916,0.7726985,0.0007932971],"study_design_scores_gemma":[0.002459981,0.001232118,0.2541019,0.0002692548,0.001522001,0.00003715411,0.01474844,0.00002783138,0.002732452,0.0005228029,0.7218672,0.0004788734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8702719,0.02146804,0.0003341796,0.06838474,0.01131463,0.001288888,0.0002575649,0.000641274,0.02603882],"genre_scores_gemma":[0.950279,0.02440624,0.0004144764,0.001458504,0.01126946,0.0001391899,0.0004675369,0.0001416251,0.01142396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08000714,"threshold_uncertainty_score":0.9994888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08078645009753439,"score_gpt":0.3611227058522896,"score_spread":0.2803362557547552,"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."}}