{"id":"W4302016036","doi":"10.36227/techrxiv.21231701","title":"Development of classifiers to determine factors associated with older adult’s cognitive functions and game user experience in VR using head kinematics","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Virtual reality; Session (web analytics); Kinematics; Headset; Cognition; Linear discriminant analysis; Support vector machine; Physical medicine and rehabilitation; Computer science; Psychology; Perceived exertion; Optical head-mounted display; Video game; Artificial intelligence; Machine learning; Multimedia; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002192794,0.0008991234,0.0008152595,0.002023955,0.0002807977,0.0009883299,0.0004516778,0.0008069244,0.001153261],"category_scores_gemma":[0.008421271,0.0002432229,0.000850603,0.0007514324,0.0001411059,0.0007781179,0.0003810479,0.000695967,0.0007819485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003553483,"about_ca_system_score_gemma":0.0005182524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004246898,"about_ca_topic_score_gemma":0.003224049,"domain_scores_codex":[0.9992712,0.0001628064,0.0001069417,0.0002002847,0.0001555253,0.0001031327],"domain_scores_gemma":[0.9961044,0.002283686,0.0003684835,0.000165868,0.0009600517,0.0001175432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007429901,0.0008470406,0.5245903,0.0001681162,0.0004212116,0.0001806028,0.0003562181,0.02430891,0.01426274,0.0004688932,0.002587397,0.4310656],"study_design_scores_gemma":[0.00004846372,0.00116811,0.3264717,0.0001728669,0.0003441573,0.0003462501,0.0008368919,0.6550062,0.01220382,0.001295272,0.002035834,0.00007034349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7946275,0.0007671374,0.1980416,0.0003257793,0.0001230204,0.0004023231,0.002218435,0.0008722603,0.002622083],"genre_scores_gemma":[0.9402001,0.0002162539,0.05667578,0.0000616711,0.00003674222,0.0002840609,0.001660132,0.00002239016,0.0008428995],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004246898,"threshold_uncertainty_score":0.01159674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1582924661740109,"score_gpt":0.3490608286124925,"score_spread":0.1907683624384816,"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."}}