{"id":"W3142219658","doi":"10.1186/s12873-021-00431-5","title":"The effect of COVID-19 on emergency medical service call volumes and patient acuity: a cross-sectional study in Niagara, Ontario","year":2021,"lang":"en","type":"article","venue":"BMC Emergency Medicine","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Medicine; Triage; Emergency medical services; Pandemic; Emergency medicine; Coronavirus disease 2019 (COVID-19); Medical emergency; Incidence (geometry); Emergency department; Cross-sectional study; Nursing; Internal medicine; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002375113,0.000340381,0.0007720949,0.0001997038,0.0002760178,0.000004927835,0.0001954211,0.0002208504,0.005253161],"category_scores_gemma":[0.008733043,0.0002142548,0.000123521,0.000813558,0.0001482745,0.00005558195,0.000155495,0.0007037549,0.00001641173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005404648,"about_ca_system_score_gemma":0.002683477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08761995,"about_ca_topic_score_gemma":0.6035835,"domain_scores_codex":[0.9949725,0.000565402,0.001519021,0.0006366505,0.001789401,0.0005170067],"domain_scores_gemma":[0.9967774,0.0009321998,0.0002632971,0.0006381539,0.0003923008,0.0009966296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001516,0.0004516869,0.9811699,0.001037964,0.0001029186,0.0001777852,0.006213754,0.00001107612,0.00007484434,0.00002418735,0.00758694,0.001632912],"study_design_scores_gemma":[0.00553533,0.005975514,0.969624,0.0002051767,0.0001113156,0.00006877296,0.0006455141,0.0001421192,0.00004269301,0.00007764437,0.01740518,0.0001667323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982636,0.002893461,0.00002888626,0.009766909,0.002622939,0.001310902,0.00000902029,0.0000380317,0.0006938623],"genre_scores_gemma":[0.9951491,0.000875457,0.000007114043,0.001456927,0.0004500103,0.0001076022,0.0000365341,0.00002895228,0.001888332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5159636,"threshold_uncertainty_score":0.9996168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08062292610387364,"score_gpt":0.4302354453541202,"score_spread":0.3496125192502465,"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."}}