{"id":"W4416050621","doi":"10.2196/76609","title":"Research Status and Trends in Virtual Reality Technology for Older Adults: Bibliometric and Visual Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Virtual reality; Visualization; Visual methods; Bibliometrics","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":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0009190988,0.00008499411,0.0001931157,0.06139129,0.000159278,0.0002210837,0.0002458935,0.0000856355,0.000002713052],"category_scores_gemma":[0.0001369703,0.00008062283,0.00002973253,0.1432094,0.000106221,0.0002761742,0.0003688944,0.0001825116,5.717054e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006786322,"about_ca_system_score_gemma":0.0000472374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004935316,"about_ca_topic_score_gemma":0.0001836204,"domain_scores_codex":[0.9986727,0.00006551539,0.0002112288,0.0004660118,0.0001829597,0.0004016355],"domain_scores_gemma":[0.99912,0.000316585,0.00003850338,0.0003099127,0.0001285177,0.00008649375],"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":[0.00001004524,0.00008199314,0.01679014,0.00002248069,0.00003396535,8.125321e-7,0.000383348,0.00001320997,0.00004475024,0.0248984,0.0003860622,0.9573348],"study_design_scores_gemma":[0.0007817204,0.0001276616,0.8780948,0.00004548241,0.00001681765,9.686881e-7,0.0007493818,0.1148334,0.0001820394,0.003016288,0.002029974,0.0001214348],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7501307,0.0005365338,0.2443807,0.003941835,0.0000178169,0.0003063193,0.00001103252,0.00007656032,0.000598499],"genre_scores_gemma":[0.9985946,0.0001238176,0.0008709476,0.00007882207,0.000007847671,0.0001585345,0.00000815423,0.000003312442,0.0001538962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9572133,"threshold_uncertainty_score":0.9492471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03790618644627614,"score_gpt":0.4285923346182005,"score_spread":0.3906861481719243,"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."}}