{"id":"W3091165791","doi":"10.1136/bmjstel-2020-000709","title":"Cost-effectiveness analysis of workplace-based distributed cardiopulmonary resuscitation training versus conventional annual basic life support training","year":2020,"lang":"en","type":"article","venue":"BMJ Simulation & Technology Enhanced Learning","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Laerdal Foundation for Acute Medicine; Royal College of Physicians and Surgeons of Canada; University of Calgary","keywords":"Cardiopulmonary resuscitation; Training (meteorology); Basic life support; Advanced life support; Life Support Care; Nursing; Medical education; Medical emergency; Psychology; Life support; Medicine; Resuscitation; MEDLINE; Emergency medicine; Intensive care medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007313692,0.0002440604,0.000876822,0.0009038989,0.0001978979,0.00001422645,0.00009666622,0.0003780493,0.00008492523],"category_scores_gemma":[0.004952158,0.0002682024,0.0004446522,0.003391476,0.0002194751,0.0001664537,0.00003663243,0.0005662363,0.00001116744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001510555,"about_ca_system_score_gemma":0.0004365531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003347976,"about_ca_topic_score_gemma":0.00000212932,"domain_scores_codex":[0.9976089,0.0003086768,0.0006873092,0.0005357433,0.0005190102,0.0003403413],"domain_scores_gemma":[0.997225,0.001130838,0.0005171297,0.0002194208,0.0007351023,0.0001725289],"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":[0.004412367,0.00004298711,0.04035654,0.0001206396,0.001342537,0.00002453043,0.001968344,0.9209509,0.00577404,0.0001164466,0.00001301171,0.02487766],"study_design_scores_gemma":[0.009313012,0.0007360416,0.3401772,0.0002841192,0.002859436,0.000001628885,0.01428251,0.6278212,0.00279039,0.00005792168,0.001219001,0.0004574939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7055169,0.0000505902,0.2913886,0.0009526926,0.0003554736,0.0009371113,0.00006867391,0.0003863797,0.0003435955],"genre_scores_gemma":[0.9962019,0.000003354614,0.001191739,0.00007081483,0.0001672986,0.0001402391,0.00218036,0.00003399249,0.00001030829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2998207,"threshold_uncertainty_score":0.999977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.067735659959271,"score_gpt":0.3615918580555549,"score_spread":0.2938561980962839,"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."}}