{"id":"W4385756448","doi":"10.1109/tcsi.2023.3299955","title":"A Two-Channel Time-Interleaved Continuous-Time Third-Order CIFF-Based Delta-Sigma Modulator","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems I Regular Papers","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Spurious-free dynamic range; Delta-sigma modulation; Integrator; Feed forward; Dynamic range; Channel (broadcasting); Figure of merit; Electronic engineering; Bandwidth (computing); Computer science; Topology (electrical circuits); Electrical engineering; Telecommunications; Engineering","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":[0.0004687177,0.0004754455,0.0006635123,0.0004138498,0.00032841,0.0001485838,0.0002099882,0.0002716099,0.0001201547],"category_scores_gemma":[0.00001105934,0.0004652441,0.0002552226,0.0005839181,0.000103189,0.0001387877,0.000001219095,0.0003337008,0.0005541904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117511,"about_ca_system_score_gemma":0.00006902885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000779635,"about_ca_topic_score_gemma":0.00001596662,"domain_scores_codex":[0.9976856,0.0001616986,0.0005306489,0.0005464771,0.0004213311,0.0006543127],"domain_scores_gemma":[0.9987886,0.0001817506,0.000071299,0.0004750033,0.0001109418,0.0003724244],"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":[0.00002881748,0.00008927785,0.000006079726,0.0003248929,0.0006431711,0.0001159327,0.0006979721,0.772976,0.2088235,0.0004284792,0.003526969,0.01233887],"study_design_scores_gemma":[0.003784162,0.000428485,0.00007101333,0.0007256847,0.000378211,0.0001625379,0.001140077,0.9709559,0.01517455,0.000181036,0.005328035,0.001670314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05300463,0.0007847926,0.9300199,0.00004977697,0.001849555,0.001345247,0.00029138,0.002819418,0.009835325],"genre_scores_gemma":[0.9929699,0.0000502835,0.000006864638,0.0001002855,0.0001234197,0.0001657717,0.00002831961,0.0001420576,0.006413097],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9399652,"threshold_uncertainty_score":0.9997799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182189482530585,"score_gpt":0.1992462816124266,"score_spread":0.1874243867871207,"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."}}