{"id":"W1721775918","doi":"10.1111/j.1553-2712.2011.01220.x","title":"ED Overcrowding: The Ontario Approach","year":2011,"lang":"en","type":"article","venue":"Academic Emergency Medicine","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Schwartz/Reisman Emergency Medicine Institute","funders":"Agency for Healthcare Research and Quality","keywords":"Overcrowding; Medicine; Emergency department; Incentive; Baseline (sea); Intervention (counseling); Cohort; Medical emergency; Emergency medicine; Gerontology; Family medicine; Nursing; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003917303,0.0004355556,0.000550868,0.003793583,0.01019784,0.004854995,0.002772246,0.001047388,0.004094149],"category_scores_gemma":[0.009320319,0.0003906225,0.0005509421,0.00741014,0.004261884,0.002328859,0.003383515,0.001613583,0.0001756757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1134922,"about_ca_system_score_gemma":0.1425044,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9794903,"about_ca_topic_score_gemma":0.9934474,"domain_scores_codex":[0.9967625,0.0006978316,0.0001863522,0.0002478901,0.001133173,0.0009722402],"domain_scores_gemma":[0.9914114,0.001239845,0.00110571,0.0002925623,0.003633898,0.002316587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003133876,0.0001774814,0.5028573,0.002386681,0.0002140318,0.002145743,0.04391088,0.001151419,0.0005796949,0.06215182,0.1776413,0.2064701],"study_design_scores_gemma":[0.0000385474,0.0001183704,0.6446034,0.002140341,0.0001557232,0.0007768369,0.07174271,0.0009888603,0.0002242875,0.006847235,0.2722484,0.0001152116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3598504,0.07081158,0.003111883,0.3640353,0.0017277,0.0005203315,0.003548954,0.0001177348,0.1962761],"genre_scores_gemma":[0.9328325,0.03877138,0.002251919,0.0120598,0.0009920918,0.0002039657,0.0005015587,0.00004964664,0.01233714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1134922,"threshold_uncertainty_score":0.823447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1051556635403268,"score_gpt":0.3281343288275715,"score_spread":0.2229786652872447,"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."}}