{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007140568,0.0003332369,0.0005049402,0.0001045723,0.000261121,2.262244e-7,0.0003865569,0.0002322077,0.01006163],"category_scores_gemma":[0.0004046496,0.0001861838,0.0001765748,0.0004518003,0.0003462764,0.0001081291,0.0001262202,0.001288739,0.0001018923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001012322,"about_ca_system_score_gemma":0.00009471308,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007041464,"about_ca_topic_score_gemma":0.0004916877,"domain_scores_codex":[0.9974905,0.00005543575,0.0009270668,0.0004548954,0.0005496758,0.0005224204],"domain_scores_gemma":[0.9988044,0.00003916392,0.0001973775,0.0005581561,0.0001882026,0.0002126973],"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":[0.0001469432,0.00009565376,0.343512,0.000100619,0.0003662131,0.00001289193,0.03285623,2.626112e-7,0.002008907,0.004042443,0.6164333,0.00042456],"study_design_scores_gemma":[0.002402137,0.001022662,0.4015375,0.0003884219,0.001679703,0.0002086284,0.01007313,0.00004537457,0.00138075,0.003791251,0.5767322,0.0007382601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3522549,0.02769814,0.0003079314,0.002525178,0.003729959,0.0007684896,0.00000322554,0.0001861996,0.6125259],"genre_scores_gemma":[0.9333435,0.03336626,0.0004055587,0.001837228,0.00235066,0.0001244032,0.00004344967,0.00006066347,0.02846829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5840576,"threshold_uncertainty_score":0.9995707,"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."}}