{"id":"W3032380953","doi":"10.2196/17804","title":"Augmented Reality–Based Rehabilitation of Gait Impairments: Case Report","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gait; Physical medicine and rehabilitation; Rehabilitation; Usability; Context (archaeology); Augmented reality; Balance (ability); Motion capture; Gait analysis; Gait training; Stroke (engine); Virtual reality; Physical therapy; Computer science; Medicine; Motion (physics); Human–computer interaction; Artificial intelligence; Engineering","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":[0.0003462389,0.002697756,0.001500301,0.002981444,0.002367005,0.001416691,0.00189061,0.006463153,0.002815962],"category_scores_gemma":[0.002267131,0.001330452,0.001951632,0.002447338,0.002022296,0.001377199,0.001906327,0.002994177,0.001292267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001256956,"about_ca_system_score_gemma":0.000801995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002647137,"about_ca_topic_score_gemma":0.003389137,"domain_scores_codex":[0.9988418,0.0001207868,0.0001743668,0.0002337891,0.0002189842,0.0004103566],"domain_scores_gemma":[0.998989,0.0001864571,0.0003140319,0.0001433154,0.00007865269,0.000288596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.0000249597,0.0001104205,0.00239176,0.00005234666,0.00002297924,0.9942465,0.0002286212,0.00008812677,0.0004126607,0.000112495,0.0002269799,0.00208203],"study_design_scores_gemma":[0.000008515261,0.00005301027,0.001734593,0.00001633636,0.00001281893,0.9972517,0.00007785505,0.0001898204,0.000230993,0.00005156953,0.0003643426,0.000008424968],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565825,0.01260351,0.01198816,0.003188503,0.0006538962,0.0004326951,0.0003578577,0.0003451515,0.01384762],"genre_scores_gemma":[0.9922602,0.001995783,0.002198652,0.0007712786,0.000467496,0.00005464198,0.00009580678,0.00002373153,0.002132643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006463153,"threshold_uncertainty_score":0.009420335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04969035233274973,"score_gpt":0.3944857025907119,"score_spread":0.3447953502579622,"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."}}