{"id":"W4410561964","doi":"10.1186/s13049-025-01410-6","title":"Performance measures of the medical priority dispatch system in an urban basic life support system","year":2025,"lang":"en","type":"article","venue":"Scandinavian Journal of Trauma Resuscitation and Emergency Medicine","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Institut National d'Excellence en Santé et en Services Sociaux; Natural Resources Canada; Université Laval; Bureau de Coopération Interuniversitaire; Canadian Forest Service; HEC Montréal","funders":"","keywords":"Medicine; Prioritization; Triage; Medical emergency; Emergency medical services; Observational study; Emergency medicine; Pairwise comparison; National Airspace System; Operations management; Computer science; Aviation; Process management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007123401,0.0004984377,0.0002890941,0.001466748,0.0004947758,0.00121455,0.0005669911,0.0004193166,0.0008595282],"category_scores_gemma":[0.02632842,0.0001688584,0.0004528241,0.001477583,0.0005446401,0.0006813419,0.0005475654,0.0003817928,0.0002659253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005229325,"about_ca_system_score_gemma":0.003290051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1766509,"about_ca_topic_score_gemma":0.09161974,"domain_scores_codex":[0.9966524,0.000961385,0.0003843725,0.0004348659,0.00115691,0.0004101207],"domain_scores_gemma":[0.9800294,0.006801159,0.005204469,0.0006040423,0.005869936,0.00149099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002343862,0.00006592173,0.989361,0.00002723707,0.00006831979,0.00002143928,0.0001667657,0.004356122,0.0001072927,0.00004977433,0.0003471864,0.005194502],"study_design_scores_gemma":[0.00001496292,0.0003855787,0.9801219,0.00001269078,0.00002172326,0.0000354465,0.0002807942,0.01862123,0.0002327472,0.00004293807,0.0002176657,0.00001240654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966864,0.0001083308,0.0009020807,0.000109605,0.000009957945,0.00007456595,0.001012635,0.00004136256,0.001055012],"genre_scores_gemma":[0.999054,0.00001860178,0.0003492109,0.00000968857,0.000004417568,0.000015161,0.0004824465,0.000002077726,0.00006440086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1766509,"threshold_uncertainty_score":0.3512455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03272528619559528,"score_gpt":0.3153303565917147,"score_spread":0.2826050703961194,"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."}}