{"id":"W4390082213","doi":"10.1093/geroni/igad104.1052","title":"BE EPIC-VR: TRANSLATING AN IN-PERSON, PERSON-CENTERED COMMUNICATION TRAINING PROGRAM INTO VIRTUAL REALITY","year":2023,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Western University","funders":"","keywords":"Virtual reality; EPIC; Computer science; Thematic analysis; Avatar; Health care; Human–computer interaction; Applied psychology; Medical education; Psychology; Qualitative research; Medicine","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":[0.007092102,0.0005773875,0.0002902101,0.0005826207,0.0008418358,0.001585486,0.001331865,0.0005031109,0.005656608],"category_scores_gemma":[0.01689478,0.0003006476,0.000643827,0.0003131605,0.0009062082,0.001013,0.003343657,0.001131095,0.000723306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009428401,"about_ca_system_score_gemma":0.002542402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001401038,"about_ca_topic_score_gemma":0.001936213,"domain_scores_codex":[0.9954422,0.003331255,0.0001744747,0.0002264474,0.0004657938,0.0003599843],"domain_scores_gemma":[0.9953649,0.002760585,0.0002551046,0.0005898699,0.0005373921,0.0004920667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001161038,0.01546688,0.01337948,0.002514467,0.0001278788,0.001463738,0.1072629,0.009218695,0.02268392,0.0105312,0.01809211,0.7980978],"study_design_scores_gemma":[0.004436875,0.04099834,0.1761824,0.008394687,0.0007667672,0.004397876,0.2205952,0.05099757,0.07390141,0.0282085,0.3902193,0.0009012098],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8613948,0.0001404302,0.09835687,0.001179776,0.0002663327,0.005342424,0.000324248,0.001345374,0.03164977],"genre_scores_gemma":[0.8148052,0.0002671974,0.1742032,0.0004793924,0.00003396917,0.004737811,0.0002996711,0.0001699074,0.005003651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007092102,"threshold_uncertainty_score":0.03750706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2611961550104638,"score_gpt":0.4653373845362718,"score_spread":0.2041412295258079,"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."}}