{"id":"W3011952786","doi":"10.2139/ssrn.3387439","title":"Priority, Capacity Rationing, and Ambulance Diversion in Emergency Departments","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Rationing; Business; Medical emergency; Operations management; Medicine; Economics; Economic growth; Health care","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003673418,0.000314191,0.0004521369,0.0008686022,0.001017155,0.001905708,0.001007597,0.001512334,0.008444876],"category_scores_gemma":[0.02648943,0.0004023899,0.001034312,0.001190241,0.0007015307,0.001755123,0.001186096,0.003227187,0.0003175851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002223964,"about_ca_system_score_gemma":0.00350567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02493508,"about_ca_topic_score_gemma":0.02602525,"domain_scores_codex":[0.9969425,0.001734059,0.0002103586,0.0001455667,0.0002413612,0.0007261453],"domain_scores_gemma":[0.9834628,0.008605108,0.003725697,0.0003416873,0.0004191853,0.003445434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003725945,0.004100204,0.9791605,0.000210459,0.0005037111,0.0002091385,0.00124098,0.0005437432,0.0001129262,0.001266673,0.0010978,0.007827801],"study_design_scores_gemma":[0.0002371705,0.001214519,0.9895454,0.0001424635,0.000180762,0.0001342274,0.005622984,0.0007965047,0.0000518979,0.001272025,0.0007820583,0.00001997249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951514,0.001375405,0.00004677128,0.001447686,0.00006000302,0.00001630431,0.0001008921,0.000001361302,0.001800142],"genre_scores_gemma":[0.9987327,0.0004442434,0.0000610471,0.0002201683,0.0000709502,0.00001030844,0.00008139299,0.000002122201,0.0003770002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02493508,"threshold_uncertainty_score":0.04957986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00872622515634212,"score_gpt":0.2602502300979504,"score_spread":0.2515240049416083,"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."}}