{"id":"W4409721629","doi":"10.1145/3706599.3721196","title":"Time Travel Tours: An Accessible Social VR Storytelling Tool for Older Adults","year":2025,"lang":"en","type":"article","venue":"","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Institute for Aging; University of Toronto; University of Waterloo","funders":"","keywords":"Storytelling; Computer science; Human–computer interaction; Multimedia; Virtual reality; Computer graphics (images); Narrative","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005347889,0.0001475628,0.0002232353,0.0001770207,0.0009761248,0.0001066753,0.000628,0.0003672982,0.000470949],"category_scores_gemma":[0.0001818695,0.0001493706,0.000103245,0.0004232549,0.0003184167,0.0004790523,0.00005348168,0.0001601548,0.00004496499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000122497,"about_ca_system_score_gemma":0.0003201595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004033999,"about_ca_topic_score_gemma":0.002401957,"domain_scores_codex":[0.9985075,0.00008275673,0.0002390053,0.0004242111,0.0002268673,0.0005196434],"domain_scores_gemma":[0.9993352,0.0001551875,0.0000717294,0.0002072081,0.00016841,0.00006228105],"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":[0.0002496131,0.0007460732,0.003138196,0.0001295407,0.0001578775,0.000006029806,0.08728427,0.0000077817,0.000944941,0.1552808,0.08076013,0.6712947],"study_design_scores_gemma":[0.01665444,0.0005953823,0.1454594,0.0009575319,0.0005192088,0.000002652115,0.2693003,0.007184295,0.03114385,0.06087018,0.4631264,0.004186381],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8961928,0.0001145555,0.0152993,0.009330861,0.0007767191,0.001850462,0.00003041212,0.001418236,0.07498665],"genre_scores_gemma":[0.9628895,0.00001335099,0.003747256,0.0007958593,0.0003754039,0.0001251599,0.00001315616,0.00002050577,0.03201983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6671084,"threshold_uncertainty_score":0.7507662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581985416843434,"score_gpt":0.31849673628792,"score_spread":0.3026768821194856,"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."}}