{"id":"W4413207333","doi":"10.22541/au.175497323.38016924/v1","title":"The Effect of Urgent Care Centers on Emergency Department KPIs: An Institution-based Study","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emergency department; Performance indicator; Institution; Medical emergency; Business; Medicine; Nursing; Political science","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":[0.003098984,0.0003575989,0.000475764,0.001637018,0.000484716,0.001065511,0.0008601602,0.0005257154,0.002294543],"category_scores_gemma":[0.01342453,0.0002642799,0.0008611283,0.002015635,0.000525802,0.0009761601,0.001211493,0.0009466431,0.0003361826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001379579,"about_ca_system_score_gemma":0.001311923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006830046,"about_ca_topic_score_gemma":0.006941412,"domain_scores_codex":[0.9966844,0.001127931,0.0004574833,0.0004438621,0.0007758199,0.000510598],"domain_scores_gemma":[0.9776554,0.004794289,0.01084265,0.000901533,0.00236276,0.003443338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001453375,0.0001272011,0.9983529,0.00001719253,0.00004520811,0.00002578948,0.0001233458,0.00002943957,0.00003295312,0.000007785147,0.00006124964,0.001031579],"study_design_scores_gemma":[0.000006657272,0.0003650499,0.9986286,0.000008931577,0.00002568944,0.00006243747,0.0006187683,0.0001277487,0.0000369216,0.000005429228,0.0001070365,0.000006716003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993648,0.0001539636,0.00004817707,0.00003430039,0.000004039421,0.00001829312,0.0001762187,0.000002851748,0.0001973444],"genre_scores_gemma":[0.9996852,0.00004635137,0.00004843561,0.00001947659,0.000006300675,0.00001342662,0.0001277644,0.000001416924,0.00005159554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006830046,"threshold_uncertainty_score":0.01638919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0158110608903184,"score_gpt":0.3323000557754738,"score_spread":0.3164889948851554,"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."}}