{"id":"W4390196642","doi":"10.1002/alz.082051","title":"Age in Place, Move in VR: Investigating the Feasibility and Usability of a Custom‐made Virtual Reality Exergame to Promote the Well‐being of Community‐Dwelling Older Adults","year":2023,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Usability; System usability scale; Psychology; Affect (linguistics); Population; Cognition; Virtual reality; Perceived exertion; Perception; Physical therapy; Medicine; Computer science; Human–computer interaction; Web usability","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":[0.002424777,0.0004221908,0.0002930419,0.0003551612,0.000231094,0.0004214511,0.0003999609,0.0003372057,0.001225377],"category_scores_gemma":[0.004304065,0.0002691292,0.0005826537,0.0001120656,0.0002003334,0.000315841,0.0004239886,0.0002457148,0.0001343948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001756327,"about_ca_system_score_gemma":0.0003804135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001535874,"about_ca_topic_score_gemma":0.002528434,"domain_scores_codex":[0.9992835,0.0003329061,0.00008469927,0.00008086564,0.0001340783,0.00008390049],"domain_scores_gemma":[0.9986394,0.0006767617,0.0001931496,0.00008069984,0.0002499286,0.0001601783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01682156,0.08851604,0.4308709,0.003926509,0.00110448,0.0008642313,0.01749375,0.001975233,0.08062726,0.0002491363,0.0009885693,0.3565624],"study_design_scores_gemma":[0.002029909,0.1905072,0.7847362,0.0002297896,0.0007875149,0.0005326046,0.004932461,0.003901948,0.01003789,0.0000914741,0.002137341,0.00007545754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994702,0.00002739997,0.000194417,0.000005653571,0.00000247942,0.0001488982,0.00001307512,0.000003138906,0.0001348738],"genre_scores_gemma":[0.9966272,0.00009467007,0.002487327,0.00002519051,0.000008632851,0.0003717755,0.00004485309,0.000002709958,0.0003375994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002424777,"threshold_uncertainty_score":0.01282358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05522626006248532,"score_gpt":0.3109859569581196,"score_spread":0.2557596968956343,"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."}}