{"id":"W2108254039","doi":"10.1109/mwscas.1994.519021","title":"A novel double sampling technique for delta-sigma modulators","year":2002,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Technical University of Nova Scotia","funders":"","keywords":"Integrator; Delta-sigma modulation; Sampling (signal processing); Sigma; Physics; Settling time; Automatic gain control; Control theory (sociology); Mathematics; Computer science; Bandwidth (computing); Engineering; Telecommunications; Optics; Step response; Detector; Amplifier","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":[0.0002215046,0.0003531228,0.0003280844,0.0003651181,0.0003455331,0.0005385813,0.000396853,0.0003704593,0.002031579],"category_scores_gemma":[0.000587897,0.0002091577,0.0002249429,0.0004254346,0.0002855629,0.0007185014,0.0004443613,0.000737507,0.000515517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003254923,"about_ca_system_score_gemma":0.0003927488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000182144,"about_ca_topic_score_gemma":0.0003222119,"domain_scores_codex":[0.999761,0.00003064344,0.00001491094,0.00004988539,0.0001212113,0.00002227757],"domain_scores_gemma":[0.9997326,0.00006385704,0.00004659947,0.00005455231,0.00007602923,0.00002634907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003349017,0.00005272721,0.0005066243,0.0002305975,0.00001685581,0.0002096805,0.0001492264,0.002347197,0.7403874,0.01881021,0.001071842,0.2358828],"study_design_scores_gemma":[0.00008802267,0.001005085,0.001101563,0.00005987017,0.00005763234,0.004057317,0.00006733349,0.1025736,0.8215045,0.005708903,0.06372521,0.00005089757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0630279,0.002368406,0.9262858,0.0002693385,0.0002483154,0.0001190205,0.00008444244,0.001025185,0.006571614],"genre_scores_gemma":[0.4886211,0.001184368,0.4999122,0.0002760931,0.0001495084,0.00007998208,0.000127752,0.00008778316,0.009561238],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002031579,"threshold_uncertainty_score":0.006796241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06391096173455646,"score_gpt":0.2411004779941868,"score_spread":0.1771895162596303,"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."}}