{"id":"W4388661845","doi":"10.1088/1741-2552/ad0c60","title":"Enhancing the selective electrical activation of human vagal nerve fibers: a comparative computational modeling study with validation in a rat sciatic model","year":2023,"lang":"en","type":"article","venue":"Journal of Neural Engineering","topic":"Vagus Nerve Stimulation Research","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University Health Network; Toronto Rehabilitation Institute; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Vagus nerve stimulation; Sciatic nerve; Vagus nerve; Nerve fiber; Biomedical engineering; Materials science; Stimulation; Electrode; Anatomy; Medicine; Chemistry","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":[0.0006026131,0.0001209151,0.0002576987,0.0005863937,0.0001113912,0.00005194715,0.0001877669,0.00002664107,0.000001639418],"category_scores_gemma":[0.0003702303,0.00008772036,0.00005290889,0.001632836,0.00001930958,0.0004748116,0.00003698519,0.0004715299,7.793835e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001583514,"about_ca_system_score_gemma":0.00010612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001227056,"about_ca_topic_score_gemma":0.000006366397,"domain_scores_codex":[0.9981343,0.0001798486,0.0005502471,0.0001610915,0.000760671,0.0002139122],"domain_scores_gemma":[0.9986305,0.0007382947,0.0002510765,0.00007769672,0.0002570993,0.00004538887],"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":[0.00007836645,0.00005062074,0.0003562364,0.000008528425,0.00001162873,0.00000954555,0.002153303,0.7400228,0.2572311,0.00005810327,0.000002173791,0.00001750512],"study_design_scores_gemma":[0.0007735555,0.0005032687,0.002380944,0.00006469352,0.0000116641,0.00001700142,0.0003356092,0.9168961,0.07877582,0.0001663737,2.511753e-8,0.0000749672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574537,0.000003048601,0.04206261,0.00008747696,0.00002740917,0.0003347462,7.363913e-7,0.00002189879,0.000008375312],"genre_scores_gemma":[0.9995393,4.771795e-7,0.0003811556,0.000009244673,0.00003626238,0.00001030488,0.000001110941,0.00001463433,0.000007554623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1784553,"threshold_uncertainty_score":0.3577132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.105108151101715,"score_gpt":0.364600910114909,"score_spread":0.259492759013194,"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."}}