{"id":"W6989189519","doi":"","title":"After-hours Incentives and Emergency Department Visits: Evidence from Ontario Forthcoming at Canadian Public Policy","year":2020,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Incentive; Public policy; Emergency department; Government (linguistics); Policy analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004345529,0.000407511,0.0009535795,0.001630501,0.008774305,0.004046719,0.002833111,0.002567416,0.01327892],"category_scores_gemma":[0.03416637,0.0008092155,0.001282221,0.007491082,0.002694224,0.001747215,0.001978025,0.00274745,0.000460836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09149968,"about_ca_system_score_gemma":0.1791884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977749,"about_ca_topic_score_gemma":0.9991536,"domain_scores_codex":[0.9938363,0.001143068,0.0003423509,0.0004283187,0.001869162,0.002380695],"domain_scores_gemma":[0.9469628,0.01483974,0.01510138,0.00145651,0.01197169,0.009667861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001140003,0.000611284,0.9150162,0.0009436517,0.0006628512,0.000332215,0.01225568,0.0004824664,0.0001059465,0.00884186,0.03818688,0.02142096],"study_design_scores_gemma":[0.0003115128,0.00009282674,0.9664153,0.0009558792,0.0004548836,0.00004019982,0.01281946,0.0002336684,0.00007446145,0.0007422075,0.01779494,0.00006454642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8521007,0.02104458,0.0002500797,0.05321496,0.0002881389,0.0003292928,0.01782714,0.00001840754,0.05492673],"genre_scores_gemma":[0.976443,0.007058178,0.0002289483,0.004292998,0.0001142436,0.0001321611,0.002088149,0.00001427366,0.009628147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09149968,"threshold_uncertainty_score":0.6638798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1058699009537442,"score_gpt":0.3198392543933893,"score_spread":0.2139693534396452,"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."}}