{"id":"W3014473038","doi":"10.1088/1741-2552/ab85d3","title":"Enhanced transcutaneous electrical nerve stimulation achieved by a localized virtual bipole: a computational study of human tibial nerve stimulation","year":2020,"lang":"en","type":"article","venue":"Journal of Neural Engineering","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Connaught Fund; Canada Foundation for Innovation","keywords":"Neuromodulation; Stimulation; Transcutaneous electrical nerve stimulation; Biomedical engineering; Functional electrical stimulation; Cuff; Materials science; Electrode; Tibial nerve; Medicine; Chemistry; Surgery; Internal medicine","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":[0.0001263795,0.000272499,0.0004846959,0.0002384601,0.0001024833,0.00006383851,0.0004529369,0.00006988723,0.00001181463],"category_scores_gemma":[0.0006410995,0.0002551708,0.0001703576,0.0008875842,0.00003643431,0.000465681,0.00004870442,0.0005405927,0.000001520977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000609119,"about_ca_system_score_gemma":0.00003397495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005935814,"about_ca_topic_score_gemma":4.422831e-7,"domain_scores_codex":[0.9974536,0.0001089653,0.0009263239,0.0003406805,0.0008470408,0.0003234111],"domain_scores_gemma":[0.9987248,0.0003653937,0.0004466605,0.0001354231,0.00008685909,0.0002409273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001498442,0.0001167889,0.00002047361,0.00001029454,0.000005966332,0.00007133799,0.0003045575,0.4900067,0.5088499,0.00002379286,0.00001061444,0.0004297417],"study_design_scores_gemma":[0.002028679,0.003728629,0.0004697909,0.00002168008,0.00003588601,0.0001330772,0.00003145412,0.7586818,0.2346617,0.000007753535,0.00001099969,0.0001884959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618545,0.00002462131,0.03736971,0.0001360666,0.0002248062,0.0003000922,0.000007662604,0.00007816942,0.000004389575],"genre_scores_gemma":[0.9995039,0.000002719422,0.0001661891,0.0001085879,0.0001669692,0.000002766578,0.000002412886,0.00003979274,0.00000672529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2741882,"threshold_uncertainty_score":0.99999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02935823792764905,"score_gpt":0.275224831849936,"score_spread":0.245866593922287,"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."}}