{"id":"W2130611561","doi":"10.1186/s12984-015-0006-8","title":"Instrumenting gait assessment using the Kinect in people living with stroke: reliability and association with balance tests","year":2015,"lang":"en","type":"article","venue":"Journal of NeuroEngineering and Rehabilitation","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kimberly-Clark (Canada); University of British Columbia; University of British Columbia Hospital","funders":"National Stroke Foundation","keywords":"Gait; Physical medicine and rehabilitation; Balance (ability); Reliability (semiconductor); Stroke (engine); Force platform; Dynamic balance; Psychology; Preferred walking speed; Physical therapy; Medicine; Engineering","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":[0.002626737,0.0003872579,0.000624317,0.0008370876,0.0002295109,0.0006584382,0.0003405043,0.000475803,0.0005606725],"category_scores_gemma":[0.01153026,0.0002514782,0.0003918464,0.0007255452,0.0003767986,0.0004410622,0.0006356206,0.0003947555,0.0002724007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001628067,"about_ca_system_score_gemma":0.0002064239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002359953,"about_ca_topic_score_gemma":0.003958429,"domain_scores_codex":[0.9986197,0.0004063713,0.0002510943,0.0001885888,0.0004374369,0.00009680429],"domain_scores_gemma":[0.994936,0.00171787,0.001585935,0.0002423383,0.0013329,0.0001849727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001989884,0.00005432954,0.9926276,0.00003748314,0.0000677367,0.00003551998,0.0001970601,0.00009325067,0.0004924447,0.000008565625,0.00005274691,0.006134249],"study_design_scores_gemma":[0.000004702103,0.0001936577,0.9984269,0.00001659775,0.00004297613,0.0001813851,0.0001435145,0.0007176948,0.0001692179,0.00002662978,0.00007086018,0.000005889889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998418,0.0003965329,0.0006730341,0.00001899015,0.000009547884,0.00001739347,0.0001201934,0.000006127475,0.0003401083],"genre_scores_gemma":[0.999103,0.0001272004,0.0004873891,0.000008624438,0.000006417138,0.00001430403,0.0001520783,0.000002538713,0.00009846511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002626737,"threshold_uncertainty_score":0.01389164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0124327004915136,"score_gpt":0.3060015495964713,"score_spread":0.2935688491049577,"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."}}