{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002140595,0.0001800254,0.0003711865,0.0002562331,0.00004759816,0.00005397906,0.0001388103,0.00008281917,0.0000630669],"category_scores_gemma":[0.00000952769,0.0001711423,0.0000920391,0.0004190489,0.00005380338,0.0001489291,0.00003740477,0.0001012858,0.00000163646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006866967,"about_ca_system_score_gemma":0.00001860882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004644255,"about_ca_topic_score_gemma":0.00007469267,"domain_scores_codex":[0.9989761,0.00003855444,0.0003148608,0.0002181594,0.0002535432,0.0001988304],"domain_scores_gemma":[0.9994135,0.00008251585,0.00005479331,0.0001991058,0.0001695059,0.00008050733],"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":[0.00002954975,0.00001452907,0.00332819,0.00004441839,0.0007031769,0.00001104505,0.0006694227,0.9255918,0.0008551586,0.0001611662,0.00037014,0.06822143],"study_design_scores_gemma":[0.0003488932,0.0001175826,0.003099764,0.00004717934,0.0002687972,0.000008257683,0.00003864232,0.9897051,0.004039397,0.0003653771,0.001737478,0.0002235453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4301988,0.0009040345,0.5684803,0.000002143248,0.00007785793,0.00005645377,0.00005813004,0.0000808917,0.000141465],"genre_scores_gemma":[0.9993589,0.0000843404,0.0004148393,0.00001771557,0.00006600309,0.000003019788,0.00001313992,0.00001986626,0.00002215463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5691601,"threshold_uncertainty_score":0.6978979,"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."}}