{"id":"W3046810637","doi":"10.2196/18822","title":"An Immersive Multi-User Virtual Reality for Emergency Simulation Training: Usability Study","year":2020,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitätsspital Zürich; Bundesministerium für Bildung und Forschung; European Commission","keywords":"Virtual reality; Usability; Training (meteorology); Multimedia; Virtual training; Computer science; Instructional simulation; Simulation training; Curriculum; Learning effect; Human–computer interaction; Simulation; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005562674,0.0005965098,0.0005678437,0.0007920227,0.0003744593,0.0005045352,0.000415705,0.0004840539,0.001207535],"category_scores_gemma":[0.01029152,0.0002961987,0.000803642,0.000303193,0.0003410584,0.0005600298,0.0006732249,0.0003715412,0.0001760851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002129998,"about_ca_system_score_gemma":0.0003445374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004082604,"about_ca_topic_score_gemma":0.0006640551,"domain_scores_codex":[0.997581,0.001539347,0.0002314122,0.0001502648,0.0003382899,0.0001596235],"domain_scores_gemma":[0.9929223,0.005064895,0.0003333522,0.0004196319,0.0008232945,0.0004365076],"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":[0.009687412,0.06734328,0.3285052,0.005536478,0.001071702,0.002895033,0.0711263,0.008220673,0.08995916,0.0008909189,0.002281958,0.412482],"study_design_scores_gemma":[0.00177928,0.2330644,0.6877427,0.000613957,0.0008897457,0.003891594,0.01920576,0.01670233,0.02530159,0.0003112864,0.01014323,0.0003542014],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978846,0.00007997591,0.001406276,0.0000174643,0.000009156992,0.0002615431,0.00002652227,0.00001508484,0.0002992864],"genre_scores_gemma":[0.9932389,0.0001910908,0.005635998,0.00003834466,0.00001967079,0.0004707825,0.00007921161,0.00001151009,0.0003145196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005562674,"threshold_uncertainty_score":0.02941859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1400615139872388,"score_gpt":0.4547959720084196,"score_spread":0.3147344580211808,"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."}}