{"id":"W2162631085","doi":"10.1109/icecs.2008.4675053","title":"Digitally-enhanced high-order ΔΣ modulators","year":2008,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Integrator; Delta-sigma modulation; Operational amplifier; Electronic engineering; Adder; Computer science; Feed forward; Robustness (evolution); CMOS; Engineering; Amplifier; Control engineering; Bandwidth (computing); Telecommunications","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":[0.0001872844,0.0003104702,0.0002208002,0.0002880935,0.0002172337,0.0004386341,0.0005452693,0.0004736694,0.004559666],"category_scores_gemma":[0.0006887367,0.0001207746,0.0001479698,0.0003095557,0.0001682458,0.0005206981,0.0001758004,0.0003759364,0.0008960245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003171602,"about_ca_system_score_gemma":0.0002299917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000296423,"about_ca_topic_score_gemma":0.0009622776,"domain_scores_codex":[0.9998291,0.00002015926,0.00001500511,0.0000327969,0.00008734912,0.00001561865],"domain_scores_gemma":[0.999767,0.00006476932,0.00004523266,0.00003104334,0.00008038992,0.00001145846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002906199,0.00008538805,0.0006392321,0.0002442205,0.00002170881,0.0002115431,0.0001139217,0.007982195,0.722289,0.008774267,0.001651674,0.2576963],"study_design_scores_gemma":[0.0001367834,0.001066625,0.00254878,0.0001067598,0.00006870761,0.001856594,0.00003741308,0.2179431,0.7322068,0.003942592,0.04003989,0.00004605839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2204241,0.002557388,0.7517048,0.0005130653,0.0003271637,0.0001358338,0.0002530373,0.002897809,0.02118677],"genre_scores_gemma":[0.7293577,0.0008087505,0.253123,0.0002778959,0.0001111023,0.00005802498,0.0001406787,0.00004268097,0.01608011],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004559666,"threshold_uncertainty_score":0.0152536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016124400015041,"score_gpt":0.197475918722757,"score_spread":0.1773146747226066,"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."}}