{"id":"W2002442112","doi":"10.1016/j.jemermed.2013.08.109","title":"Can Emergency Medical Services Use Turnaround Time as a Proxy for Measuring Ambulance Offload Time?","year":2013,"lang":"en","type":"article","venue":"Journal of Emergency Medicine","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nova Scotia Health Authority; Dalhousie University","funders":"","keywords":"Turnaround time; Emergency department; Proxy (statistics); Medicine; Medical emergency; Emergency medical services; Emergency medicine; Interval (graph theory); Operations management; Computer science; Nursing; Engineering","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":[0.008376143,0.0008025117,0.001130643,0.002267665,0.000672012,0.003811971,0.001556523,0.002108744,0.001768062],"category_scores_gemma":[0.06928732,0.000542226,0.001626446,0.003664468,0.000882587,0.003637391,0.0009743451,0.002148336,0.0007123757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073281,"about_ca_system_score_gemma":0.001348139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009406172,"about_ca_topic_score_gemma":0.008638561,"domain_scores_codex":[0.990392,0.005161184,0.001394013,0.0009588209,0.001341165,0.0007528603],"domain_scores_gemma":[0.9345732,0.0360875,0.02142609,0.002249448,0.003696597,0.001967233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001490668,0.00009745961,0.9947801,0.00006086212,0.000189533,0.00003677391,0.0003247523,0.0001688871,0.00006977378,0.0001771639,0.0005907018,0.003354854],"study_design_scores_gemma":[0.00002693254,0.0005049214,0.9902911,0.0001644874,0.0003326575,0.0005299427,0.0022464,0.003210999,0.0004187571,0.0006611226,0.001569128,0.00004358412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878905,0.002007277,0.001806625,0.002128507,0.000402273,0.00005164851,0.001116577,0.00003884783,0.004557776],"genre_scores_gemma":[0.9966595,0.0004069157,0.001464418,0.0004152347,0.0001446476,0.0000567861,0.0005475688,0.00001869028,0.0002863752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009406172,"threshold_uncertainty_score":0.04429775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04767954839063699,"score_gpt":0.3278552121121709,"score_spread":0.280175663721534,"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."}}