{"id":"W2792161212","doi":"10.1016/j.medengphy.2018.01.004","title":"A finite element modeling study of peripheral nerve recruitment by percutaneous tibial nerve stimulation in the human lower leg","year":2018,"lang":"en","type":"article","venue":"Medical Engineering & Physics","topic":"Urinary Bladder and Prostate Research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Stimulation; Percutaneous; Tibial nerve; Saphenous nerve; Reflex; Cadaver; Peripheral; Medicine; Anatomy; Overactive bladder; Axon; Biomedical engineering; Materials science; Anesthesia; Surgery; Internal medicine; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002463914,0.0003508623,0.0002601314,0.0003444111,0.0001990779,0.0005242907,0.000486286,0.001239541,0.001488358],"category_scores_gemma":[0.0008022911,0.0002857322,0.0004761247,0.000252803,0.0003883751,0.0002694886,0.0002285651,0.0002287942,0.000277577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003164176,"about_ca_system_score_gemma":0.0005356856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005758592,"about_ca_topic_score_gemma":0.003977178,"domain_scores_codex":[0.9998919,0.00003593505,0.000006823154,0.0000205853,0.00003182354,0.0000129949],"domain_scores_gemma":[0.999727,0.0001814021,0.00002935146,0.0000150631,0.00003453609,0.00001273998],"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":[0.0001152044,0.0000886854,0.002930516,0.00009975913,0.00001852394,0.0003928452,0.000254553,0.9674394,0.01840605,0.0008318786,0.0001902525,0.009232488],"study_design_scores_gemma":[0.000007646105,0.0000773888,0.0008082264,0.00001128586,0.000008694533,0.00008788707,0.00005821281,0.9969403,0.001406579,0.000119293,0.000467878,0.000006761874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7913944,0.0004322063,0.1969807,0.0003609931,0.0000534503,0.0001220066,0.0003387693,0.0002554177,0.0100621],"genre_scores_gemma":[0.9827358,0.0002008859,0.01426119,0.0000471474,0.000006703639,0.00006850113,0.00009732669,0.0000213758,0.002561147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005758592,"threshold_uncertainty_score":0.01145011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05783731485460476,"score_gpt":0.342750467036221,"score_spread":0.2849131521816163,"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."}}