{"id":"W2106792268","doi":"10.1017/s1481803500011386","title":"Chemical, biological, radiological and nuclear preparedness training for emergency medical services providers","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Disaster Response and Management","field":"Health Professions","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Hamilton Health Sciences; Hamilton General Hospital; McMaster University","funders":"","keywords":"Medicine; Preparedness; Radiological weapon; Training (meteorology); Medical emergency; Emergency medical services; First responder; Family medicine; Surgery","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":[0.001768167,0.0002385979,0.0001549809,0.0005044023,0.004466246,0.0008295769,0.0008026727,0.001645237,0.04153997],"category_scores_gemma":[0.01081772,0.0003122191,0.0002280807,0.0003133122,0.0004446058,0.0007861966,0.001597049,0.001603993,0.001720842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006555369,"about_ca_system_score_gemma":0.05959971,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1656093,"about_ca_topic_score_gemma":0.4243319,"domain_scores_codex":[0.9989527,0.0001926226,0.00002982397,0.00002880245,0.0002110209,0.0005850422],"domain_scores_gemma":[0.9893701,0.001087506,0.0003593715,0.00009286517,0.001586725,0.007503462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00065731,0.003598563,0.1377183,0.001003084,0.00002426613,0.00225855,0.01025059,0.001521855,0.002810746,0.005326166,0.5052955,0.3295351],"study_design_scores_gemma":[0.0004351646,0.001637812,0.6014905,0.00305835,0.00003735198,0.002173475,0.05452088,0.002183442,0.001412023,0.005655968,0.3272908,0.0001042836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5916864,0.004975551,0.001603811,0.2788309,0.003560598,0.0009921149,0.0009487252,0.0001670123,0.117235],"genre_scores_gemma":[0.9274234,0.00608456,0.006133847,0.0151248,0.000884405,0.0006261531,0.0006825955,0.00004634307,0.04299387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8343908,"threshold_uncertainty_score":0.3292906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2321600940205269,"score_gpt":0.4512349129338418,"score_spread":0.2190748189133149,"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."}}