{"id":"W2102735839","doi":"10.1016/j.medengphy.2004.08.016","title":"Modular transcutaneous functional electrical stimulation system","year":2004,"lang":"en","type":"article","venue":"Medical Engineering & Physics","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto","funders":"Toronto Rehabilitation Institute","keywords":"Functional electrical stimulation; Modular design; Neuroprosthetics; Rehabilitation engineering; Computer science; Motion (physics); Functional movement; Stimulation; Flexibility (engineering); Muscle fatigue; Biomedical engineering; Engineering; Physical medicine and rehabilitation; Rehabilitation; Neuroscience; Medicine; Electromyography; Artificial intelligence; Physical therapy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006656477,0.0001784107,0.0001901257,0.00006848426,0.00005745945,0.00001596319,0.00008873777,0.0001043473,0.00001985944],"category_scores_gemma":[0.0000328295,0.0001806121,0.00009949127,0.0004135015,0.00001832473,0.00008337918,0.000007245088,0.0003036857,0.00001048723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001730833,"about_ca_system_score_gemma":0.00002748012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000575028,"about_ca_topic_score_gemma":5.989691e-7,"domain_scores_codex":[0.9988303,0.000005576307,0.0002061696,0.0001528822,0.000502568,0.0003025561],"domain_scores_gemma":[0.9996343,0.00004843535,0.00001272219,0.0001210774,0.00003264685,0.0001507757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000453055,0.00003147845,0.00002032794,0.00009094926,0.00009245217,0.00001685254,0.00006144168,0.9669585,0.005352809,0.01160792,0.00007768282,0.0156851],"study_design_scores_gemma":[0.0008383683,0.00006107703,0.006015072,0.0000978104,0.00003293556,0.00005275536,0.00001036283,0.9868915,0.003622832,0.0003083358,0.001719685,0.0003492581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1321795,0.0002133564,0.8652184,0.00007442995,0.0004258778,0.0001082899,0.000002161825,0.001289259,0.0004887738],"genre_scores_gemma":[0.9986726,0.00002750781,0.0007254562,0.00003398705,0.0004515921,0.00002643518,0.00001756062,0.00003949788,0.000005341483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8664932,"threshold_uncertainty_score":0.7365149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005614269689261931,"score_gpt":0.1723179678016414,"score_spread":0.1667036981123795,"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."}}