{"id":"W4293197478","doi":"10.1007/978-1-0716-1006-0_216","title":"Peripheral Nerve Signal Processing, Multipole Cuff Methods","year":2022,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Computational Neuroscience","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Peripheral; Multipole expansion; Peripheral nerve; SIGNAL (programming language); Computer science; Medicine; Physics; Internal medicine; Anatomy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002737441,0.0008301768,0.0005355894,0.0007844917,0.0002720195,0.001344717,0.000849011,0.001384835,0.01978333],"category_scores_gemma":[0.0008487554,0.0002801714,0.0002649482,0.001263644,0.0005027516,0.001231131,0.0006560585,0.001191721,0.01806724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002429702,"about_ca_system_score_gemma":0.0003147877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005400314,"about_ca_topic_score_gemma":0.0009550219,"domain_scores_codex":[0.9998016,0.00002341114,0.000008275576,0.00004514381,0.0001130973,0.000008520409],"domain_scores_gemma":[0.9998011,0.00007281424,0.00001520961,0.00003213304,0.00006436856,0.00001432847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006534891,0.00006599461,0.0001275341,0.001007649,0.00002094481,0.0001025533,0.0001163721,0.01337845,0.01635586,0.05117128,0.1099574,0.8076305],"study_design_scores_gemma":[0.00002214228,0.0001078318,0.001083003,0.0003785084,0.00003658347,0.00118927,0.0001014349,0.08635404,0.009535714,0.1106119,0.7905264,0.00005317414],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002385561,0.07849723,0.7881952,0.001190657,0.003588818,0.0000634754,0.0004344074,0.00218294,0.1234617],"genre_scores_gemma":[0.04251328,0.0688465,0.3374529,0.001069284,0.003916369,0.0001870786,0.0008821856,0.001246876,0.5438855],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01978333,"threshold_uncertainty_score":0.06618178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0369742955281066,"score_gpt":0.3115643076312065,"score_spread":0.2745900121030999,"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."}}