{"id":"W4317415683","doi":"10.36724/2664-066x-2021-7-4-7-11","title":"A 36 MW, 13 B, 2.1 MS/S MULTI-BIT DS ADC IN 0.18 M DIGITAL CMOS PROCESS USING AN EFFICIENT TOP-DOWN DESIGN METHODOLOGY","year":2021,"lang":"en","type":"article","venue":"SYNCHROINFO JOURNAL","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"CMC Microsystems","keywords":"CMOS; Block (permutation group theory); Capacitor; Dynamic range; Switched capacitor; Electronic engineering; Nyquist–Shannon sampling theorem; Computer science; 12-bit; Decimation; Integrated circuit design; Nyquist rate; Electrical engineering; Engineering; Telecommunications; Mathematics; Sampling (signal processing); Bandwidth (computing); Voltage","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002138596,0.0004164975,0.0003381446,0.0003671397,0.000295526,0.0006311854,0.0009703306,0.000382886,0.003210147],"category_scores_gemma":[0.0003505313,0.0002905559,0.0001896046,0.0002919017,0.0001516386,0.0004528795,0.0002198794,0.0004794478,0.001151034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004897745,"about_ca_system_score_gemma":0.0009821507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001125689,"about_ca_topic_score_gemma":0.003708201,"domain_scores_codex":[0.9997913,0.00001990247,0.00001361984,0.00003852682,0.0001167556,0.00001982068],"domain_scores_gemma":[0.9998248,0.00004663605,0.00003047028,0.00001793534,0.00006253581,0.00001750586],"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":[0.0001359733,0.00007356017,0.0007279006,0.000490494,0.00006078379,0.000221973,0.0001045878,0.003309817,0.8822374,0.003251383,0.001601188,0.107785],"study_design_scores_gemma":[0.0001836712,0.00292963,0.004562006,0.0001091115,0.0002376452,0.002658922,0.00009324316,0.07237015,0.8313223,0.001463659,0.08399893,0.00007082122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1243153,0.001623407,0.8497807,0.0004813829,0.0001952428,0.001018092,0.0008029996,0.004270476,0.01751243],"genre_scores_gemma":[0.3653062,0.0005850518,0.6248176,0.0002172545,0.00006474325,0.0002767933,0.0003350166,0.0001197304,0.008277637],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003210147,"threshold_uncertainty_score":0.01073903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1007972913452806,"score_gpt":0.315108126470356,"score_spread":0.2143108351250754,"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."}}