{"id":"W4310957937","doi":"10.2196/40727","title":"A Novel Scenario-Based, Mixed-Reality Platform for Training Nontechnical Skills of Battlefield First Aid: Prospective Interventional Study","year":2022,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Medical University","keywords":"Teamwork; Offensive; Virtual reality; Likert scale; Virtual training; Battlefield; Computer science; Software; Simulation; Engineering; Engineering management; Human–computer interaction; Operations research","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":[0.002690825,0.001134391,0.001015636,0.001065985,0.0008046083,0.000715211,0.0008584801,0.001385748,0.005465557],"category_scores_gemma":[0.001846659,0.0007287574,0.0008877842,0.0004335728,0.0010424,0.001229019,0.0009446334,0.001235142,0.001283883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005114916,"about_ca_system_score_gemma":0.001418706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006356527,"about_ca_topic_score_gemma":0.0008359226,"domain_scores_codex":[0.9989587,0.0003845491,0.00006799616,0.0001921813,0.0001323116,0.0002642554],"domain_scores_gemma":[0.999023,0.0002247347,0.0001169894,0.0001351505,0.0001570522,0.000343153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.02083236,0.7801176,0.06318304,0.001719217,0.0003460985,0.003622951,0.006064444,0.002444519,0.0240547,0.001004525,0.001704184,0.09490621],"study_design_scores_gemma":[0.007468827,0.8831003,0.08619633,0.0001779592,0.0003092302,0.001524496,0.005883983,0.003413534,0.004902826,0.0004336493,0.006417043,0.0001718186],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939704,0.0001379936,0.001894769,0.00005009061,0.00003374281,0.003250377,0.000105353,0.00001764711,0.0005396592],"genre_scores_gemma":[0.9790531,0.0005581676,0.00795181,0.0002352073,0.000096456,0.009606292,0.0003119984,0.00001085422,0.002176238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005465557,"threshold_uncertainty_score":0.01828414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05994803922748868,"score_gpt":0.3832027850685418,"score_spread":0.3232547458410531,"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."}}