{"id":"W2466435689","doi":"10.1017/cem.2016.131","title":"LO094: Mass casualty incident training for rural Canadian municipalities: a mobile education unit initiative","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Preparedness; Emergency management; Curriculum; Medical emergency; Medicine; Medical education; Unit (ring theory); Psychology; Pedagogy","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":[0.003090811,0.0007741366,0.0003016813,0.001186142,0.01199463,0.003232343,0.004060822,0.003047299,0.02308257],"category_scores_gemma":[0.0037552,0.0006483566,0.000606959,0.0009607885,0.00158146,0.001115975,0.005312575,0.003768121,0.00212988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04022529,"about_ca_system_score_gemma":0.3363893,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9433707,"about_ca_topic_score_gemma":0.9866143,"domain_scores_codex":[0.9978282,0.0002124913,0.00003390642,0.0001236202,0.0004346336,0.001367186],"domain_scores_gemma":[0.9802697,0.0004406878,0.000249653,0.0001349125,0.002230441,0.0166746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002332025,0.01340084,0.07930838,0.00140031,0.0001253015,0.002532559,0.02413479,0.001273,0.0193872,0.004737346,0.4692226,0.3821458],"study_design_scores_gemma":[0.001741959,0.004174212,0.4676813,0.0007793208,0.0001481591,0.0004212565,0.06690765,0.002115357,0.002315403,0.0007153189,0.4528041,0.0001960561],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7117791,0.001526419,0.003293891,0.124125,0.002495053,0.01020787,0.005677292,0.001803587,0.1390918],"genre_scores_gemma":[0.6996151,0.002423125,0.02235804,0.03852212,0.000718535,0.005709813,0.005150492,0.0004248382,0.225078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0566293,"threshold_uncertainty_score":0.2918563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3396811765875724,"score_gpt":0.4959716882032247,"score_spread":0.1562905116156523,"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."}}