{"id":"W2102373582","doi":"10.1109/ccece.2004.1347696","title":"An ultra low-power chopper stabilized front-end for multichannel cortical signals recording","year":2004,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Micropower; Preamplifier; Chopper; Amplifier; CMOS; Electrical engineering; Band-pass filter; Noise (video); Physics; Electronic engineering; Materials science; Power (physics); Optoelectronics; Computer science; Voltage; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003238068,0.0002713623,0.0003539282,0.00009126309,0.0001228709,0.00006684023,0.0001881412,0.0001701988,0.001080944],"category_scores_gemma":[0.00009638181,0.0002475813,0.0001626406,0.00008840269,0.00005233314,0.0002935297,0.000004340398,0.0002124134,0.0001503393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001378223,"about_ca_system_score_gemma":0.00004017451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005806391,"about_ca_topic_score_gemma":0.00005284531,"domain_scores_codex":[0.9984734,0.00003524241,0.0003812213,0.0003429408,0.0001809342,0.0005862263],"domain_scores_gemma":[0.9991133,0.000205914,0.00002635728,0.0002776053,0.00008565732,0.0002911374],"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":[0.0001107657,0.0002571111,0.0001388465,0.0001140172,0.0001682202,0.00001950308,0.00113211,0.07396872,0.9057435,0.01354228,0.001838384,0.002966519],"study_design_scores_gemma":[0.01645682,0.002046026,0.001087842,0.0003796964,0.000382957,0.00006356993,0.005121361,0.07389497,0.8486975,0.04396125,0.004063333,0.003844658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1402096,0.0001446519,0.8538552,0.00001695383,0.0003870058,0.0004907832,0.0000281237,0.0005602348,0.004307464],"genre_scores_gemma":[0.9979356,0.00001878215,0.001325992,0.000163126,0.0001467225,0.00009615064,0.00002526487,0.00008368043,0.0002046751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.857726,"threshold_uncertainty_score":0.9999976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01566903099752542,"score_gpt":0.240584459054813,"score_spread":0.2249154280572876,"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."}}