{"id":"W2116507902","doi":"10.1109/tcsii.2008.2008062","title":"Combining Multipath and Single-Path Time-Interleaved Delta-Sigma Modulators","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits & Systems II Express Briefs","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Integrator; Delta-sigma modulation; Bandwidth (computing); Multipath propagation; Electronic engineering; Topology (electrical circuits); Operational amplifier; Computer science; Noise shaping; Path (computing); Transfer function; Single stage; Control theory (sociology); Telecommunications; Amplifier; Engineering; Channel (broadcasting); Computer network; Electrical engineering; Artificial intelligence","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":[0.0002281831,0.0005459429,0.0007026721,0.0003197907,0.0007053371,0.00009585536,0.0002843134,0.000301938,0.00004389977],"category_scores_gemma":[0.000008448257,0.0005946259,0.0002017682,0.0002987822,0.0001555687,0.0003961705,0.000002996227,0.000511481,0.00008097445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001864038,"about_ca_system_score_gemma":0.00004745059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002174009,"about_ca_topic_score_gemma":0.000009829712,"domain_scores_codex":[0.9974179,0.0001549814,0.00069214,0.0006114513,0.000457559,0.000665936],"domain_scores_gemma":[0.9986827,0.0001903979,0.0001063296,0.0005522905,0.0001092883,0.0003590269],"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":[0.00005428008,0.0007177396,0.0001233664,0.0005720789,0.0008315842,0.0003723087,0.0131255,0.5113631,0.4436977,0.0006008109,0.003402409,0.02513913],"study_design_scores_gemma":[0.01494044,0.003323149,0.001059215,0.005148136,0.001094182,0.006195774,0.003224005,0.6166379,0.3091686,0.0003068254,0.0299415,0.008960296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2113658,0.0008609891,0.7835764,0.000002499531,0.001152172,0.0005160329,0.0001192771,0.0009199455,0.001486884],"genre_scores_gemma":[0.9981163,0.0001074498,0.00003141071,0.00004571161,0.0001441385,0.0001507554,0.00001190265,0.0001616103,0.001230686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7867506,"threshold_uncertainty_score":0.9996505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02120664860373578,"score_gpt":0.191290487936229,"score_spread":0.1700838393324932,"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."}}