{"id":"W4390693263","doi":"10.1109/icecs58634.2023.10382747","title":"A Lean Noise-Cancelling Sturdy MASH Delta-Sigma ADC with a Noise-Shaping SAR Stage","year":2023,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université du Québec à Chicoutimi","funders":"","keywords":"Noise shaping; Delta-sigma modulation; Electronic engineering; Computer science; Feed forward; Noise (video); Bandwidth (computing); Quantization (signal processing); Switched capacitor; Capacitor; Engineering; Electrical engineering; Artificial intelligence; Telecommunications; Algorithm; Voltage","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"],"consensus_categories":[],"category_scores_codex":[0.0003119379,0.0003347316,0.0003488335,0.0002416373,0.0001593483,0.0000941704,0.0002668366,0.0001158074,0.0003848298],"category_scores_gemma":[0.00001569483,0.000293437,0.0000998105,0.0007451001,0.00004694057,0.000226044,0.00003262469,0.0003253328,0.0005804326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001055793,"about_ca_system_score_gemma":0.00005266331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001369545,"about_ca_topic_score_gemma":0.000185421,"domain_scores_codex":[0.9982058,0.00002390851,0.0003124119,0.0003906632,0.0003551399,0.0007120637],"domain_scores_gemma":[0.9992415,0.0001057798,0.00004220328,0.0003446311,0.00006304608,0.0002028074],"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":[0.00008852458,0.00007032056,0.003976151,0.0007960795,0.0006652407,0.0007235555,0.003042752,0.8604131,0.05741401,0.03126008,0.02252755,0.01902267],"study_design_scores_gemma":[0.006141751,0.0009433951,0.004296674,0.001263672,0.0004991501,0.00009688263,0.01044863,0.7948375,0.0555765,0.005573304,0.1148312,0.005491357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1412031,0.0006478596,0.8206502,0.00002156314,0.0002672354,0.0004427406,0.00003588698,0.002968807,0.03376254],"genre_scores_gemma":[0.9920266,0.0001716139,0.0004212031,0.0001753268,0.0001997595,0.00003363687,0.00003635147,0.0001311025,0.006804351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8508235,"threshold_uncertainty_score":0.9999518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0368470781234408,"score_gpt":0.2251866525115688,"score_spread":0.188339574388128,"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."}}