{"id":"W4399321028","doi":"10.1186/s12938-024-01246-8","title":"A novel functional electrical stimulation sleeve based on textile-embedded dry electrodes","year":2024,"lang":"en","type":"article","venue":"BioMedical Engineering OnLine","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; University of Toronto; Toronto Rehabilitation Institute; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Functional electrical stimulation; Electrode; Textile; Electrical conductor; Materials science; Biomedical engineering; Mechanical engineering; Composite material; Engineering; Stimulation","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001120924,0.0002718976,0.0002147959,0.0006337832,0.00005035204,0.00004841318,0.00009694528,0.0001558451,0.0001269036],"category_scores_gemma":[0.0001194578,0.0002501964,0.0001320692,0.001198877,0.00003255616,0.00008829931,0.00001171958,0.000455382,0.00001374267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001612416,"about_ca_system_score_gemma":0.00005206832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000029149,"about_ca_topic_score_gemma":0.000001095994,"domain_scores_codex":[0.9985267,0.000007797021,0.0002890399,0.0002962606,0.0004501165,0.0004301011],"domain_scores_gemma":[0.999356,0.000278913,0.0000124816,0.0001552844,0.00003655522,0.000160772],"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":[0.00008378767,0.0006325168,0.00009738303,0.0004043805,0.000471771,0.00002170601,0.00007107126,0.5057424,0.3553306,0.002962732,0.01326787,0.1209138],"study_design_scores_gemma":[0.0004136779,0.0001528398,0.01450386,0.00008939663,0.00002474767,0.000004648882,0.000002597434,0.9585806,0.001325941,0.00002024076,0.02462022,0.0002612744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05750493,0.0008331939,0.9360875,0.0006270032,0.001266956,0.0002334361,0.00007328731,0.003085634,0.0002879983],"genre_scores_gemma":[0.9929642,0.00003559834,0.005583911,0.0001309808,0.0007725732,0.00004381762,0.0003458477,0.00007003136,0.00005303826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9354593,"threshold_uncertainty_score":0.9999951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142417897962029,"score_gpt":0.2281978349030803,"score_spread":0.21677365592346,"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."}}