{"id":"W2172276898","doi":"10.1109/iscas.2007.378131","title":"Delta-Sigma Analog-to-Digital Conversion via Time-Mode Signal Processing","year":2007,"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":"McGill University","funders":"","keywords":"Delta-sigma modulation; CMOS; Electronic engineering; Signal processing; Bandwidth (computing); 12-bit; Voltage; Computer science; Analog signal; Sampling (signal processing); Electrical engineering; Digital signal processing; Engineering; Telecommunications","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":[0.0002274754,0.0003392733,0.000231485,0.0004302685,0.0001994534,0.000681652,0.0009839236,0.000382888,0.002531983],"category_scores_gemma":[0.00034651,0.0001754636,0.0002301347,0.0003803986,0.0002451784,0.0006811189,0.0002405947,0.0004137996,0.0009496586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002287417,"about_ca_system_score_gemma":0.0003554556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002366231,"about_ca_topic_score_gemma":0.0005254028,"domain_scores_codex":[0.9998129,0.00002329588,0.00001523673,0.00003418329,0.00009786744,0.00001659228],"domain_scores_gemma":[0.9997914,0.00003803388,0.00003061502,0.00003163547,0.00009448012,0.00001373122],"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":[0.0001405473,0.0001095094,0.0008176258,0.0003072434,0.00004449598,0.0002481283,0.0001286488,0.005313851,0.5708387,0.02868192,0.001850086,0.3915193],"study_design_scores_gemma":[0.0001114904,0.002046624,0.001934533,0.00009338197,0.0001290373,0.003686602,0.00008482835,0.2199829,0.6719974,0.01114481,0.08870346,0.00008479932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02488896,0.0007824329,0.9672291,0.000144973,0.0001812624,0.0000973467,0.00007249836,0.001376178,0.005227118],"genre_scores_gemma":[0.3328581,0.0009058048,0.6568112,0.0002490197,0.0001438117,0.0001093845,0.0001246197,0.00004660571,0.008751396],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002531983,"threshold_uncertainty_score":0.008470297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007407069484052723,"score_gpt":0.2137475860308825,"score_spread":0.2063405165468298,"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."}}