{"id":"W4404840930","doi":"10.32920/27931428","title":"The Future of Emergency Medicine (EM) Sim Cases: A Modified Massive Online Needs Assessment","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of British Columbia, Okanagan Campus; Kelowna General Hospital; McMaster University; Queen's University; University of Toronto","funders":"","keywords":"Medicine; Medical emergency; Computer science","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":[0.01115024,0.000535758,0.0003302242,0.003814528,0.001371299,0.001791447,0.0009945058,0.0008327827,0.004524682],"category_scores_gemma":[0.02488141,0.0003871078,0.0006792283,0.001617918,0.0008301059,0.004214103,0.005027603,0.001008678,0.0008468557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002705435,"about_ca_system_score_gemma":0.003506803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001207171,"about_ca_topic_score_gemma":0.002816103,"domain_scores_codex":[0.9947778,0.002798571,0.0007625929,0.0002991278,0.0009186669,0.0004432259],"domain_scores_gemma":[0.9829072,0.00819994,0.001998021,0.0008885378,0.00441828,0.001587993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005455702,0.00392901,0.3874745,0.002418198,0.00009050281,0.001273407,0.1332068,0.003236045,0.005902659,0.009409642,0.0213087,0.431205],"study_design_scores_gemma":[0.0002208641,0.003053556,0.5898797,0.001486425,0.0001233112,0.001553211,0.2403467,0.02381542,0.01052217,0.01694591,0.1116808,0.0003718066],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692848,0.00005592343,0.01177363,0.001786257,0.00004249135,0.005036525,0.001364469,0.0001662341,0.01048966],"genre_scores_gemma":[0.8944693,0.0003013394,0.08458035,0.0006311269,0.00004592299,0.01488395,0.00183889,0.00005618115,0.003192896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01115024,"threshold_uncertainty_score":0.05896884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08189560540954516,"score_gpt":0.4492647238448456,"score_spread":0.3673691184353004,"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."}}