{"id":"W2115786796","doi":"10.1109/rme.2005.1543013","title":"Fully digital feedforward delta-sigma modulator","year":2005,"lang":"en","type":"article","venue":"Research in Microelectronics and Electronics, 2005 PhD","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Feed forward; Delta-sigma modulation; Adder; Computer science; Delta modulation; Electronic engineering; Modulation (music); Noise (video); Noise shaping; Bandwidth (computing); Engineering; Physics; CMOS; Artificial intelligence; Telecommunications; Pulse-amplitude modulation; Control 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":[0.001365001,0.000387076,0.0004332644,0.0005883308,0.0002264553,0.0003138455,0.0004673038,0.0002695942,0.00007268268],"category_scores_gemma":[0.00004355296,0.0004121391,0.0001180385,0.0006378666,0.0001673476,0.0004747819,0.00008252525,0.001786543,0.0001574596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480595,"about_ca_system_score_gemma":0.0004742701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004196577,"about_ca_topic_score_gemma":0.0007435492,"domain_scores_codex":[0.995262,0.00009924878,0.0004955141,0.0005878256,0.0005372791,0.003018113],"domain_scores_gemma":[0.9989185,0.0001442483,0.00003492413,0.0004110386,0.0001265364,0.000364761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002486138,0.0005162755,0.001112746,0.0003037061,0.0005055313,0.00009275326,0.0004885569,0.03038454,0.0728543,0.1850125,0.03784464,0.6706358],"study_design_scores_gemma":[0.003053221,0.001099661,0.0003012533,0.0001949836,0.00004129303,0.0002229509,0.0001796409,0.11034,0.03228724,0.08083352,0.7696372,0.001809059],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7695585,0.186817,0.03058022,0.0006638565,0.0001414876,0.001225778,0.00008354025,0.0005664756,0.01036313],"genre_scores_gemma":[0.982283,0.01647223,0.00006470457,0.0000683074,0.0003179261,0.00005449824,0.00004860346,0.0001108267,0.0005799136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7317925,"threshold_uncertainty_score":0.999833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02819558394274205,"score_gpt":0.2699861888940017,"score_spread":0.2417906049512596,"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."}}