{"id":"W2776481663","doi":"10.17975/sfj-2017-016","title":"Development of Visual Feedback Training Using Functional Electrical Stimulation Therapy for Balance Rehabilitation","year":2017,"lang":"en","type":"article","venue":"STEM Fellowship Journal","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Toronto Rehabilitation Institute; University of Toronto","funders":"University of Toronto","keywords":"Functional electrical stimulation; Physical medicine and rehabilitation; Balance (ability); Rehabilitation; Center of pressure (fluid mechanics); Balance training; Functional movement; Psychology; Physical therapy; Medicine; Computer science; Stimulation; Simulation; Neuroscience; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003649248,0.0004767594,0.0002603899,0.0004241479,0.0001416718,0.000248215,0.0005551396,0.0003918439,0.00183064],"category_scores_gemma":[0.0004412876,0.000145265,0.0003451887,0.0001190535,0.0002081586,0.0003958747,0.0003255901,0.0002521278,0.0002781704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001923104,"about_ca_system_score_gemma":0.0003859681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006736895,"about_ca_topic_score_gemma":0.0007654866,"domain_scores_codex":[0.9997548,0.00004291665,0.00002210795,0.00005449757,0.0001034836,0.00002208376],"domain_scores_gemma":[0.9999045,0.00002862867,0.00001811656,0.000006734787,0.00002874311,0.00001321281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003954983,0.001903214,0.001762984,0.0007782527,0.00005441705,0.000286328,0.0001487659,0.003465678,0.683906,0.0005013419,0.0005114708,0.306286],"study_design_scores_gemma":[0.0008816043,0.04689359,0.0547797,0.0004374817,0.0004508802,0.004166404,0.0002560596,0.1200101,0.7426364,0.0009689355,0.02837202,0.0001469356],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6164214,0.003670869,0.3690334,0.0005353878,0.0002527717,0.001634464,0.0002005089,0.001076517,0.007174664],"genre_scores_gemma":[0.8168942,0.002103261,0.177151,0.0002458497,0.00005093704,0.0009365089,0.0001385125,0.0000391907,0.002440514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00183064,"threshold_uncertainty_score":0.006124079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06696085315838275,"score_gpt":0.2995565063301837,"score_spread":0.2325956531718009,"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."}}