{"id":"W2330776715","doi":"10.1016/j.cjca.2014.07.402","title":"SIMULATED TEAM-BASED CPB EMERGENCY PREPAREDNESS TRAINING","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Preparedness; Medical emergency; Training (meteorology); Simulation training; Rapid response team; Medical education; Emergency medicine; Aeronautics; Simulation; Management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008852425,0.0008251761,0.0006176011,0.0003700698,0.001147836,0.0008596964,0.001423026,0.00136991,0.01753227],"category_scores_gemma":[0.005221478,0.000339551,0.0005664285,0.0002834295,0.0005035208,0.0005740098,0.00228152,0.001859801,0.002498977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009187506,"about_ca_system_score_gemma":0.003390665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003965053,"about_ca_topic_score_gemma":0.004963152,"domain_scores_codex":[0.9992124,0.0002481697,0.00004088692,0.0001685467,0.00008933591,0.0002407184],"domain_scores_gemma":[0.9961992,0.0008894068,0.0001447136,0.0003000567,0.0003689849,0.002097645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.08498076,0.1510023,0.04331356,0.001435312,0.0006013074,0.003918755,0.008796207,0.3040524,0.02678611,0.006958703,0.07529179,0.2928628],"study_design_scores_gemma":[0.03083864,0.2309187,0.1052136,0.001079712,0.0004289969,0.002657341,0.007981089,0.4818713,0.02598979,0.01876302,0.09317747,0.001080415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616458,0.00007902108,0.01715105,0.0008933676,0.0007891395,0.002831975,0.001727525,0.0007343058,0.01414773],"genre_scores_gemma":[0.9784995,0.00009818457,0.01212592,0.0003730256,0.0001342262,0.002643328,0.001142713,0.00004694873,0.004936144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01753227,"threshold_uncertainty_score":0.05865127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0726485184641253,"score_gpt":0.3749826100690188,"score_spread":0.3023340916048935,"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."}}