{"id":"W4402886255","doi":"10.2196/preprints.66673","title":"Feasibility, usability, and effects of the leisure-based cognitive training using a fully immersive virtual reality system in older adults: Pilot single-arm pre-post study (Preprint)","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Usability; Virtual reality; Human–computer interaction; Training (meteorology); Multimedia; Psychology; Computer science; Applied psychology; World Wide Web; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002685419,0.0006481333,0.001054895,0.000301428,0.0002078207,0.0003103912,0.001779702,0.0002990331,0.000004213774],"category_scores_gemma":[0.0005964087,0.0005197764,0.000277096,0.0009562228,0.0005408193,0.0001719522,0.007586433,0.001355767,0.000003234242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101905,"about_ca_system_score_gemma":0.0010848,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006948218,"about_ca_topic_score_gemma":0.002882854,"domain_scores_codex":[0.9928792,0.001829444,0.001358262,0.002479693,0.0009372362,0.0005161307],"domain_scores_gemma":[0.9940478,0.002044163,0.0007103526,0.002398887,0.0006193726,0.0001794657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003727532,0.08650468,0.2061154,0.06776645,0.003733072,0.0003143318,0.4190943,0.07446028,0.01273192,0.0439352,0.00004996068,0.08156683],"study_design_scores_gemma":[0.007846577,0.003356603,0.3783615,0.02072711,0.0007411828,0.00005288278,0.0486966,0.5252006,0.01001375,0.003378198,9.686626e-7,0.001624092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.750311,0.00006509493,0.2367921,0.0003458344,0.0003835266,0.01157646,0.0001104186,0.0001716792,0.0002438698],"genre_scores_gemma":[0.9982725,0.00000115979,0.0008158784,0.00007407754,0.00003469699,0.00073727,0.00001459737,0.00003961629,0.0000102145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4507403,"threshold_uncertainty_score":0.9997254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04839069371857478,"score_gpt":0.3078274037524603,"score_spread":0.2594367100338855,"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."}}