{"id":"W2097339975","doi":"10.1109/ner.2011.5910643","title":"Low power noise immune circuit for implantable CMOS neurochemical sensor applied in neural prosthetics","year":2011,"lang":"en","type":"article","venue":"","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"CMOS; Microsystem; Delta-sigma modulation; Brain implant; Integrator; Noise (video); Amplifier; Operational amplifier; Electronic engineering; Neurochemical; Low-power electronics; Electrical engineering; Computer science; Power (physics); Materials science; Engineering; Power consumption; Physics; Nanotechnology; Artificial intelligence; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009819835,0.0002415601,0.0002523858,0.000128643,0.0000931231,0.00004858973,0.0004343762,0.00007463792,0.00004937119],"category_scores_gemma":[0.0001284139,0.0002122973,0.00008502281,0.0003987941,0.0001047481,0.0002207711,0.0001036351,0.0002500409,0.00004327577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002148521,"about_ca_system_score_gemma":0.00002181974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006552782,"about_ca_topic_score_gemma":9.162559e-7,"domain_scores_codex":[0.9980733,0.00001949383,0.0003479731,0.0006359506,0.0002215623,0.000701726],"domain_scores_gemma":[0.9993054,0.000137808,0.00006052021,0.0003478139,0.0000152813,0.0001331312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007728435,0.0001250735,0.00006040842,0.00002078238,4.036104e-7,0.00003178127,0.0001539408,0.00003264645,0.9975675,0.001442321,0.00004495922,0.0004428884],"study_design_scores_gemma":[0.0006264498,0.0001357404,0.0005058456,0.00000786012,0.000003524502,0.0001452733,0.00002593552,0.003986792,0.9938078,0.0001669516,0.0003233912,0.0002644213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869801,0.000005449502,0.0004347992,0.00005216316,0.0004316806,0.0008183509,0.0000144835,0.0001987988,0.01106411],"genre_scores_gemma":[0.9981841,0.000008129605,0.0001572351,0.00108933,0.00002409364,0.00009591758,9.852804e-7,0.00004265407,0.0003975216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01120396,"threshold_uncertainty_score":0.8657232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04347239412789194,"score_gpt":0.2333621943724943,"score_spread":0.1898898002446024,"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."}}