{"id":"W4406531770","doi":"10.2196/69205","title":"Augmented Reality Exergames for Upcoming Cognitive-Motor Rehabilitation: User-Centered Design Approach and User Experience of Healthy Children","year":2025,"lang":"en","type":"article","venue":"JMIR Rehabilitation and Assistive Technologies","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Psychology; Cognition; Augmented reality; Rehabilitation; Human–computer interaction; Computer science; World Wide Web; Neuroscience","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002290711,0.000746248,0.0005729214,0.0007618629,0.0005047,0.0008821595,0.0005448361,0.0004426719,0.001880674],"category_scores_gemma":[0.002640188,0.0003260579,0.000694693,0.0003087808,0.0007352014,0.0005828356,0.001114075,0.0004012497,0.0002532476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005401228,"about_ca_system_score_gemma":0.0004609696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001147853,"about_ca_topic_score_gemma":0.001690852,"domain_scores_codex":[0.9986785,0.0007080369,0.0001045082,0.0001839196,0.0002002289,0.0001247242],"domain_scores_gemma":[0.9987392,0.0007367671,0.0001234879,0.00006500877,0.0002217784,0.0001137877],"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":[0.003795159,0.008607998,0.2032234,0.006360843,0.0004458087,0.004758841,0.3177418,0.006055238,0.1209007,0.004491645,0.003481349,0.3201374],"study_design_scores_gemma":[0.001085697,0.04053631,0.6754516,0.001190899,0.0009623572,0.008848078,0.1474309,0.02344773,0.05606076,0.002052398,0.04234171,0.0005915999],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915713,0.0001550192,0.006520348,0.00004017286,0.000006216012,0.0003995891,0.0000692561,0.00007063075,0.001167503],"genre_scores_gemma":[0.9686148,0.0003801991,0.02762021,0.00004481903,0.000005033291,0.001142909,0.0001661625,0.00003346153,0.001992261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002290711,"threshold_uncertainty_score":0.01211458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02897452106080862,"score_gpt":0.3443830863692882,"score_spread":0.3154085653084795,"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."}}