{"id":"W4415524906","doi":"10.17981/ingecuc.21.2.2025.09","title":"Design and Preliminary Evaluation of a Kinematically-Adaptive Immersive Virtual Reality Exergame for Post-Stroke Rehabilitation","year":2025,"lang":"","type":"article","venue":"Inge CUC","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Virtual reality; Usability; Rehabilitation; User experience design; Scale (ratio); Wearable computer","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":[0.002085466,0.0008293947,0.0005065171,0.0004238395,0.0002805984,0.0005972158,0.001176824,0.0006514393,0.003451187],"category_scores_gemma":[0.00194628,0.0003565396,0.0005968164,0.0001224671,0.0003992004,0.0004040005,0.0007750671,0.0004248344,0.0005810526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002879482,"about_ca_system_score_gemma":0.0008287241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007656398,"about_ca_topic_score_gemma":0.0008119449,"domain_scores_codex":[0.9991595,0.0003494683,0.00007918834,0.0001249529,0.0001620117,0.0001249638],"domain_scores_gemma":[0.9993445,0.0002181495,0.00004521752,0.00007034613,0.0001950652,0.000126716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01611162,0.06516909,0.02787987,0.005894979,0.0006052534,0.001775427,0.007696018,0.01164657,0.4127986,0.00253968,0.001794423,0.4460884],"study_design_scores_gemma":[0.01092309,0.5894205,0.1772618,0.000568728,0.001426793,0.00211573,0.004138592,0.0439156,0.1376503,0.001604226,0.03061403,0.0003605868],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518933,0.0001631697,0.03490664,0.0000813429,0.00005330549,0.01039585,0.0002294153,0.0001929102,0.002084071],"genre_scores_gemma":[0.8883348,0.0003741998,0.09483573,0.0001296294,0.00002295644,0.01252955,0.0003527768,0.0000457848,0.003374585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003451187,"threshold_uncertainty_score":0.01154542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04203993785023073,"score_gpt":0.3442943424230291,"score_spread":0.3022544045727984,"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."}}