{"id":"W2759894456","doi":"10.3390/mti1040023","title":"Supporting Optimal Aging through the Innovative Use of Virtual Reality Technology","year":2017,"lang":"en","type":"article","venue":"Multimodal Technologies and Interaction","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sheridan College","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Loneliness; Virtual reality; Social connectedness; Gerontechnology; Augmented reality; Social isolation; Entertainment; Isolation (microbiology); Face (sociological concept); Aging in place; Psychology; Field (mathematics); Gerontology; Computer science; Medicine; Sociology; Political science; Human–computer interaction; Social psychology; Social science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001427718,0.0002880712,0.0002347559,0.0007630959,0.0005580298,0.002067608,0.000401556,0.0005742479,0.002032455],"category_scores_gemma":[0.004207107,0.0001114262,0.0003478717,0.0003315971,0.0008253122,0.001526296,0.001881164,0.000397021,0.0003174389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000288868,"about_ca_system_score_gemma":0.0005870297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009282973,"about_ca_topic_score_gemma":0.001385952,"domain_scores_codex":[0.9991419,0.0004777393,0.00005885303,0.00006655744,0.000175636,0.00007925056],"domain_scores_gemma":[0.9988373,0.0006877482,0.0001862269,0.00006761145,0.00009950663,0.0001215996],"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":[0.0001618556,0.0005190842,0.04013543,0.001579004,0.0001350875,0.001208423,0.09376772,0.0008162124,0.01055354,0.0259003,0.007276543,0.8179468],"study_design_scores_gemma":[0.0001185654,0.003227808,0.256726,0.004426008,0.0005302881,0.01313447,0.1151469,0.004715636,0.007997686,0.05063257,0.543013,0.0003310395],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8295697,0.03172436,0.04515497,0.006114553,0.000291889,0.0001788577,0.0001757358,0.0002602577,0.08652964],"genre_scores_gemma":[0.966378,0.01334295,0.01651015,0.0005477858,0.0001153,0.00008913223,0.00004046852,0.00001273083,0.002963588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002067608,"threshold_uncertainty_score":0.007550597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06645539364264864,"score_gpt":0.3921898488639067,"score_spread":0.3257344552212581,"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."}}