{"id":"W2660125847","doi":"10.1186/s12984-017-0272-8","title":"KAPS (kinematic assessment of passive stretch): a tool to assess elbow flexor and extensor spasticity after stroke using a robotic exoskeleton","year":2017,"lang":"en","type":"article","venue":"Journal of NeuroEngineering and Rehabilitation","topic":"Botulinum Toxin and Related Neurological Disorders","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; Heart and Stroke Foundation; Sunnybrook Health Science Centre; Queen's University; University of Toronto; University Health Network","funders":"Ontario Innovation Trust","keywords":"Spasticity; Physical medicine and rehabilitation; Exoskeleton; Kinematics; Elbow; Medicine; Stroke (engine); Physical therapy; Engineering; Surgery; Physics; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001732415,0.0005996395,0.0005361032,0.001795717,0.0001923428,0.0003922169,0.0004172627,0.0003461036,0.00238898],"category_scores_gemma":[0.003466496,0.0002239871,0.0004359415,0.0004565245,0.0003267341,0.0005588157,0.0006929157,0.000259353,0.0005493831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002367065,"about_ca_system_score_gemma":0.0003249776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005752153,"about_ca_topic_score_gemma":0.001366212,"domain_scores_codex":[0.998914,0.0003670436,0.0001534125,0.0001131672,0.0004030369,0.00004935813],"domain_scores_gemma":[0.998512,0.000378808,0.0005968192,0.0000843196,0.0003232122,0.0001048898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005173706,0.001383789,0.3757645,0.001765479,0.0006293592,0.0005898637,0.0007317731,0.004144257,0.1117864,0.0004650785,0.003220815,0.4943449],"study_design_scores_gemma":[0.0002476749,0.008198117,0.9607235,0.0001749548,0.0002128732,0.003361479,0.0002653849,0.00980184,0.0141104,0.0003280631,0.002475159,0.0001006356],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633619,0.001047414,0.02872796,0.0001050101,0.00005385201,0.0009785591,0.001596213,0.0004439149,0.003685101],"genre_scores_gemma":[0.9535272,0.0007054735,0.04096091,0.00008977663,0.00004893875,0.001315231,0.0010324,0.00003060284,0.002289428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00238898,"threshold_uncertainty_score":0.009161949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02181910077630901,"score_gpt":0.3117334681690965,"score_spread":0.2899143673927875,"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."}}