{"id":"W2041719160","doi":"10.1109/iembs.2011.6091448","title":"Approaches for the efficient extraction and processing of biopotentials in implantable neural interfacing microsystems","year":2011,"lang":"en","type":"review","venue":"","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Interfacing; Microsystem; Computer science; Converters; Signal processing; Amplifier; Noise (video); Power (physics); Electronic engineering; Electrical engineering; Computer hardware; Engineering; Artificial intelligence; Digital signal processing; Telecommunications; Voltage; Nanotechnology","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":[0.0007747879,0.001239181,0.00132542,0.003084262,0.0004163649,0.001202782,0.001479622,0.001690978,0.002637084],"category_scores_gemma":[0.0006519976,0.0005130092,0.0005844103,0.002849173,0.001054862,0.002370931,0.0009341037,0.001990021,0.003917013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008960385,"about_ca_system_score_gemma":0.0007598295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006891211,"about_ca_topic_score_gemma":0.001185568,"domain_scores_codex":[0.9997516,0.00002746447,0.00002984955,0.00005291008,0.0001191173,0.00001916837],"domain_scores_gemma":[0.9996971,0.000142708,0.000037015,0.0000179285,0.00008836878,0.00001682275],"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":[0.0000419849,0.000117017,0.0001057063,0.01078972,0.00005191979,0.0003176462,0.00008719425,0.001403919,0.01403694,0.02225458,0.01081401,0.9399794],"study_design_scores_gemma":[0.00001230607,0.00009270357,0.0003856052,0.001821479,0.00004556718,0.001643494,0.00006074566,0.0004435527,0.009106937,0.009586575,0.9767566,0.00004441976],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003279896,0.9918331,0.003827407,0.0002161232,0.0002013787,0.0000119101,0.00001638527,0.00002316139,0.00354253],"genre_scores_gemma":[0.00153692,0.992955,0.00324051,0.000138677,0.0001212371,0.00001992994,0.00003121582,0.000006198798,0.001950351],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003084262,"threshold_uncertainty_score":0.008821964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2597035772219139,"score_gpt":0.3511322711219158,"score_spread":0.09142869390000191,"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."}}