{"id":"W4391872857","doi":"10.1016/j.cag.2024.01.007","title":"Visual feedback and guided balance training in an immersive virtual reality environment for lower extremity rehabilitation","year":2024,"lang":"en","type":"article","venue":"Computers & Graphics","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Lawrence Livermore National Laboratory; National Institute of General Medical Sciences; National Institutes of Health; National Science Foundation","keywords":"Avatar; Virtual reality; Balance (ability); Usability; Rehabilitation; Computer science; Kinesthetic learning; Human–computer interaction; Reinforcement learning; Virtual machine; Viewpoints; Psychology; Physical medicine and rehabilitation; Artificial intelligence; Medicine; Developmental psychology","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":[0.0002653312,0.0003746218,0.000248077,0.0002216187,0.0001216234,0.0002856236,0.0003929992,0.0004406315,0.003514231],"category_scores_gemma":[0.0007634578,0.0001754885,0.000220447,0.000101748,0.0001512553,0.0003107515,0.0004807573,0.0002558439,0.0002288843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006492803,"about_ca_system_score_gemma":0.0002248726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001027345,"about_ca_topic_score_gemma":0.001386658,"domain_scores_codex":[0.9998296,0.00004998701,0.000009643306,0.00002391921,0.00005305291,0.00003375694],"domain_scores_gemma":[0.9998473,0.00008679087,0.00001212416,0.00001166387,0.00002253172,0.00001954818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008926835,0.003225142,0.001810823,0.0005294147,0.0001026107,0.0005119673,0.0009182139,0.0172343,0.5729733,0.000960962,0.002307558,0.390499],"study_design_scores_gemma":[0.004282893,0.05006372,0.1546629,0.0006924497,0.001195311,0.008000082,0.001876134,0.3537408,0.3958416,0.005022654,0.0240411,0.0005804557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8755941,0.0008403293,0.1183852,0.0001666359,0.0001697765,0.0001487482,0.0001529443,0.000731747,0.003810386],"genre_scores_gemma":[0.9784219,0.0002889922,0.01880973,0.00007886801,0.0000326155,0.00009360156,0.00004578507,0.00004234847,0.002186078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003514231,"threshold_uncertainty_score":0.0117563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03972011338835222,"score_gpt":0.3143029620412747,"score_spread":0.2745828486529225,"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."}}