{"id":"W2988413463","doi":"10.1503/cjs.005417","title":"Multidisciplinary in-situ simulation to evaluate a rare but high-risk process at a level 1 trauma centre: the “Mega-Sim” approach","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Surgery","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"","keywords":"Multidisciplinary approach; Medicine; Teamwork; Mega-; Multidisciplinary team; Medical emergency; Emergency department; Resource (disambiguation); Process (computing); Event (particle physics); Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00123172,0.0001749624,0.0003736467,0.0008143714,0.0003092136,0.00003105341,0.0001403532,0.0001169335,0.0005144022],"category_scores_gemma":[0.0009934981,0.0001365498,0.0001209282,0.0007638091,0.0001193966,0.0001362875,0.00001083399,0.0003195003,0.0000441906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009767986,"about_ca_system_score_gemma":0.003843087,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004715734,"about_ca_topic_score_gemma":0.01916479,"domain_scores_codex":[0.9979448,0.0002242494,0.0007250484,0.0002369719,0.0004165844,0.0004523218],"domain_scores_gemma":[0.9963523,0.0007919862,0.0004013625,0.0003237423,0.001124929,0.001005669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002615634,0.00005339607,0.9598016,0.00009327187,0.00004204539,0.00006818955,0.01069009,0.01933716,0.00002544546,0.000006979571,0.00320802,0.006412283],"study_design_scores_gemma":[0.0007772768,0.00007871509,0.9868668,0.0003946495,0.00006733986,0.0001029418,0.004082152,0.006465022,0.0002548234,0.00009439824,0.0006549369,0.0001609857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925634,0.0002387572,0.000173134,0.005126046,0.0008140536,0.0005485221,0.00003387308,0.00001092507,0.0004912866],"genre_scores_gemma":[0.9972818,0.00000341388,0.0004070053,0.0005138535,0.0009270144,0.0000140389,0.00002616004,0.00005284109,0.000773856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0270652,"threshold_uncertainty_score":0.9987329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1261366688010916,"score_gpt":0.3588946150468103,"score_spread":0.2327579462457186,"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."}}