{"id":"W7113899057","doi":"10.1145/3748699.3749776","title":"Adaptive Immersive Virtual Reality Exergame for Post-Stroke Rehabilitation: Design and Implementation","year":2025,"lang":"","type":"article","venue":"","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Kinematics; Virtual reality; Rehabilitation; Adaptation (eye); Task (project management); Jerk; Motion capture; Work (physics)","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":[0.001030046,0.0007271649,0.0004626834,0.0004806906,0.0001300327,0.00040032,0.001100696,0.0004576964,0.003449191],"category_scores_gemma":[0.0009013033,0.0003062378,0.0004428428,0.0001359521,0.0002313588,0.000263401,0.0006518168,0.000339571,0.000558003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001493083,"about_ca_system_score_gemma":0.0004391429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005329359,"about_ca_topic_score_gemma":0.0005128131,"domain_scores_codex":[0.9995503,0.000157483,0.00004542731,0.00008318105,0.0001059069,0.00005766632],"domain_scores_gemma":[0.9998086,0.00006265216,0.0000159975,0.00002558832,0.00004709066,0.00004014987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005988338,0.0186408,0.008495174,0.003323137,0.0003401266,0.0007227367,0.00198118,0.01326471,0.271837,0.003392541,0.001546124,0.6704682],"study_design_scores_gemma":[0.01030542,0.3068932,0.1702514,0.0008830336,0.002061086,0.003686657,0.002276628,0.1441665,0.2761994,0.003812214,0.07876029,0.0007042807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6655539,0.0005898068,0.3081549,0.000165576,0.0001463351,0.01841389,0.0005048806,0.00104142,0.005429144],"genre_scores_gemma":[0.6560205,0.0007624233,0.3170613,0.0001226323,0.00003476454,0.02047864,0.0003395635,0.00008347171,0.005096629],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003449191,"threshold_uncertainty_score":0.01153874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02045927680147476,"score_gpt":0.3332183329454996,"score_spread":0.3127590561440249,"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."}}