{"id":"W4402777332","doi":"10.2196/58623","title":"Integrating GPT-Based AI into Virtual Patients to Facilitate Communication Training Among Medical First Responders: Usability Study of Mixed Reality Simulation","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Research Executive Agency; European Commission","keywords":"Preprint; Usability; Virtual reality; Training (meteorology); Mixed reality; Computer science; Human–computer interaction; Multimedia; Psychology; World Wide Web; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007059827,0.0001459773,0.0003108788,0.0005749217,0.00044053,0.00007030197,0.0002551686,0.000164919,0.0001274634],"category_scores_gemma":[0.006729076,0.0001212936,0.00007388925,0.001339539,0.0003619831,0.0004813703,0.0001333155,0.001052472,0.00005101983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007294221,"about_ca_system_score_gemma":0.0007537876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005649185,"about_ca_topic_score_gemma":0.005507776,"domain_scores_codex":[0.9951177,0.001471965,0.001031825,0.0003432503,0.001658313,0.0003769485],"domain_scores_gemma":[0.993111,0.004318196,0.00009072199,0.0005635901,0.001587656,0.0003288895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009555668,0.001447303,0.06452916,0.0007366802,0.00004711308,0.000002258427,0.7084553,0.001569823,0.00003496211,0.0001763793,0.0008168359,0.2212286],"study_design_scores_gemma":[0.0005322728,0.008333799,0.21824,0.002413109,0.00002150141,5.997966e-7,0.3851995,0.3811816,0.001363939,0.00147677,0.0009945587,0.0002423508],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888457,0.00002014761,0.004416967,0.004098895,0.0001540696,0.002188994,0.00001185805,0.00006549822,0.0001978806],"genre_scores_gemma":[0.9992421,0.000004137672,0.0001059708,0.00006825048,0.00005199128,0.0003626614,0.0001167796,0.00001571744,0.00003243195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3796118,"threshold_uncertainty_score":0.8539915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4402948920192369,"score_gpt":0.5651865346095529,"score_spread":0.124891642590316,"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."}}