{"id":"W2180582122","doi":"10.1016/s0920-5489(01)00063-0","title":"Analysis and simulation of a cascaded delta delta–sigma modulator","year":2001,"lang":"en","type":"article","venue":"Computer Standards & Interfaces","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Delta-sigma modulation; Integrator; Dynamic range; Cascade; Delta; Delta modulation; Noise (video); Noise shaping; Computer science; Physics; Electronic engineering; Telecommunications; Optics; Bandwidth (computing); Engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001450979,0.0003388082,0.0003806068,0.0002750244,0.0004048445,0.0004418098,0.0006152517,0.0009394939,0.004428239],"category_scores_gemma":[0.0005116733,0.0002619255,0.0003752436,0.000271338,0.0003174688,0.000383929,0.0002372884,0.0003549932,0.0003063894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006920198,"about_ca_system_score_gemma":0.0006063079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008583968,"about_ca_topic_score_gemma":0.005398488,"domain_scores_codex":[0.9999071,0.00001454705,0.00000385477,0.0000123799,0.00004487933,0.00001713663],"domain_scores_gemma":[0.9997856,0.0001140995,0.00002495574,0.00001694835,0.00004593285,0.00001256232],"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":[0.0001012662,0.00003462363,0.000729573,0.00004593307,0.00001959489,0.0001992234,0.00007501347,0.9822748,0.008545389,0.00310432,0.000254294,0.004616004],"study_design_scores_gemma":[0.000005848167,0.00002017805,0.0001488016,0.000001941731,0.000004261698,0.00001215451,0.000005808348,0.9986115,0.0008327199,0.0001816295,0.0001733453,0.000001825678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8154454,0.0005678847,0.1341538,0.0005275739,0.0001191471,0.0001024207,0.0003572132,0.001091526,0.04763509],"genre_scores_gemma":[0.9920124,0.00005974164,0.004696316,0.00002799554,0.000005608748,0.00001710192,0.00004079644,0.0000204294,0.003119658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008583968,"threshold_uncertainty_score":0.01706797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209600352703567,"score_gpt":0.2508819225168015,"score_spread":0.2387859189897658,"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."}}