{"id":"W2808950872","doi":"10.1016/j.amjsurg.2018.06.009","title":"Simulation-based training for trauma resuscitation among ACS TQIP-Pediatric centers: Understanding prevalence of use, associated center characteristics, training factors, and implementation barriers","year":2018,"lang":"en","type":"article","venue":"The American Journal of Surgery","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Institute of Child Health and Human Development; National Institutes of Health","keywords":"Medicine; Trauma center; Emergency medicine; Resuscitation; Pediatric trauma; Epidemiology; Medical emergency; Family medicine; Retrospective cohort study; Injury prevention; Poison control; Internal medicine","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":[0.002727649,0.0002283699,0.0002617378,0.001068383,0.0007847475,0.001360199,0.0008488533,0.0005977121,0.00310077],"category_scores_gemma":[0.0195122,0.0003522341,0.0004381767,0.001351716,0.00036823,0.00160228,0.001904318,0.001228801,0.0001934829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640539,"about_ca_system_score_gemma":0.005381055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01859833,"about_ca_topic_score_gemma":0.0307765,"domain_scores_codex":[0.9974831,0.0006469341,0.0003327579,0.0002527547,0.0005324307,0.0007521376],"domain_scores_gemma":[0.9870533,0.003850936,0.004730922,0.0003722152,0.001588831,0.002403738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002589662,0.0001717581,0.9933822,0.0000297356,0.00002041454,0.00002142449,0.001249365,0.00008762436,0.00006982633,0.00007547888,0.0002975396,0.004568697],"study_design_scores_gemma":[0.000006971635,0.0001321843,0.9877695,0.0001752162,0.00002323158,0.0001284383,0.009318125,0.001410984,0.0001161557,0.0001055492,0.0008027204,0.00001085636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982049,0.0001116961,0.0001772467,0.0005887384,0.000008057612,0.00003741612,0.0002130318,0.000003678718,0.0006551114],"genre_scores_gemma":[0.9990466,0.0001737359,0.000320384,0.0001235116,0.00000708173,0.00004290989,0.0001774249,0.000003184579,0.0001051923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01859833,"threshold_uncertainty_score":0.03698021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1845650327745286,"score_gpt":0.3870393025213527,"score_spread":0.2024742697468241,"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."}}