{"id":"W4302016094","doi":"10.36227/techrxiv.21231701.v1","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":"University of Waterloo","funders":"","keywords":"Virtual reality; Kinematics; Session (web analytics); Headset; Cognition; Support vector machine; Computer science; Perceived exertion; Linear discriminant analysis; Physical medicine and rehabilitation; Optical head-mounted display; Psychology; Video game; Artificial intelligence; Machine learning; Human–computer interaction; Multimedia; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002081947,0.0008946523,0.0007700968,0.001901126,0.0002650438,0.0009790098,0.0004011431,0.0007471211,0.001083846],"category_scores_gemma":[0.008542162,0.0002246853,0.0007700873,0.0007453621,0.000140729,0.0007482753,0.0003612646,0.0006373959,0.0007208426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003229952,"about_ca_system_score_gemma":0.0004907956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00359866,"about_ca_topic_score_gemma":0.003076427,"domain_scores_codex":[0.9992792,0.000162996,0.00009849357,0.0001977582,0.0001639395,0.00009758477],"domain_scores_gemma":[0.9961908,0.00220519,0.0003723193,0.0001614131,0.0009489662,0.0001213756],"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":[0.0007876215,0.0008415497,0.565964,0.0001898053,0.0003792226,0.0001577927,0.0003794536,0.01814901,0.01388654,0.0004485898,0.002075675,0.3967407],"study_design_scores_gemma":[0.00005150603,0.001586933,0.4616824,0.0002158248,0.0004160504,0.0004521024,0.0009929417,0.5183882,0.01253505,0.001425396,0.002176869,0.0000767232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8356189,0.0007915113,0.1579279,0.0002614195,0.0001053784,0.0003777499,0.001884823,0.0006417591,0.002390622],"genre_scores_gemma":[0.9513958,0.0002450942,0.04595472,0.00005063648,0.0000322682,0.0002546074,0.001330629,0.00001950309,0.0007168199],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00359866,"threshold_uncertainty_score":0.01101053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1490185685936433,"score_gpt":0.3482230906455417,"score_spread":0.1992045220518984,"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."}}