{"id":"W4413778428","doi":"10.2196/64147","title":"A Virtual Reality–Based mHealth App to Enhance Health Care Skills and Promote Health Equity by Empowering Health Care Professionals to Provide Empathetic, Compassionate, and Unbiased Patient Care Through Digital Experiential Learning: Qualitative Study","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Cultural Competency in Health Care","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Preprint; Health care; Digital health; Experiential learning; Qualitative research; eHealth; Psychology; Empathy; Nursing; Internet privacy; Medicine; Computer science; World Wide Web; Social psychology; Sociology; Psychological intervention; Pedagogy","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003579981,0.0004895008,0.001060006,0.0004353927,0.006110315,0.0004875793,0.0005637333,0.0001565009,0.0000157956],"category_scores_gemma":[0.0009986248,0.0004261789,0.00009648569,0.001839521,0.0005391221,0.0008329634,0.00113781,0.001292608,0.00001093865],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00571909,"about_ca_system_score_gemma":0.008058957,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01505122,"about_ca_topic_score_gemma":0.01025048,"domain_scores_codex":[0.984884,0.00750711,0.001422463,0.001280135,0.002798826,0.002107456],"domain_scores_gemma":[0.9943503,0.0009626535,0.0005336249,0.000477412,0.002107254,0.001568823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000289334,0.0005290529,0.0001670829,0.001715681,0.00001852764,0.000002022857,0.8996775,0.00001760617,0.000005842073,0.0002844559,0.008640323,0.0886526],"study_design_scores_gemma":[0.0007529125,0.01089138,0.0008420521,0.001814871,0.000002160432,4.54376e-7,0.9475682,0.00001091377,0.0001332965,0.00004353776,0.03759244,0.0003477258],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9516526,0.003199677,0.0003666432,0.02695545,0.0003870693,0.01560815,0.001011053,0.0002112663,0.0006080363],"genre_scores_gemma":[0.9944799,0.00005601902,0.0002993985,0.002122564,0.00006401637,0.002397822,0.0003743164,0.00003839785,0.0001675916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08830487,"threshold_uncertainty_score":0.999819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06415461364426477,"score_gpt":0.5598954451771607,"score_spread":0.4957408315328959,"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."}}