{"id":"W4362506055","doi":"10.1007/s43678-023-00482-6","title":"Impact of bilingual face, arm, speech, time (FAST) public awareness campaigns on emergency medical services (EMS) activation in a large Canadian metropolitan area","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sante Montreal; Université de Montréal; Centre Hospitalier de l’Université de Montréal; University of Ottawa","funders":"Fonds de Recherche du Québec - Santé","keywords":"Medicine; Stroke (engine); Emergency medical services; Population; Observational study; Univariate analysis; Metropolitan area; Emergency medicine; Medical emergency; Demography; Multivariate analysis; Environmental health; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007277043,0.000407514,0.0003842249,0.0007157206,0.006571595,0.001761712,0.001464639,0.0009749728,0.003870428],"category_scores_gemma":[0.004152528,0.0003148066,0.000541302,0.001156959,0.001264296,0.0005402708,0.00185788,0.001769412,0.0002331543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04468359,"about_ca_system_score_gemma":0.1001518,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9913722,"about_ca_topic_score_gemma":0.9964553,"domain_scores_codex":[0.9982749,0.0002034368,0.00004141379,0.0001288318,0.0003097846,0.001041647],"domain_scores_gemma":[0.9963911,0.0002503479,0.0003867017,0.00006548009,0.0009920389,0.001914274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001061166,0.002649883,0.9109801,0.0002445313,0.0002418962,0.001595835,0.02107169,0.0006519971,0.002083261,0.001140805,0.01714043,0.04113843],"study_design_scores_gemma":[0.00005410891,0.0002854061,0.9602379,0.0001091486,0.00009776334,0.0001204417,0.03437721,0.0004017462,0.0002283743,0.00008907838,0.003954289,0.00004438682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922119,0.0001561937,0.0000338723,0.002581523,0.00004564045,0.00007674621,0.0003993815,0.00001132887,0.004483332],"genre_scores_gemma":[0.9970835,0.0002206483,0.0001531538,0.0008968805,0.00003085052,0.0000387263,0.0001563053,0.000007306524,0.001412542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04468359,"threshold_uncertainty_score":0.3242037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06110639367800613,"score_gpt":0.3604316187241348,"score_spread":0.2993252250461286,"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."}}