{"id":"W2048203791","doi":"10.1007/s10470-014-0285-1","title":"Design and modeling of high-resolution multibit log-domain $$\\Delta \\Sigma$$ Δ Σ modulators","year":2014,"lang":"en","type":"article","venue":"Analog Integrated Circuits and Signal Processing","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McGill University","keywords":"Delta-sigma modulation; Quantization (signal processing); Electronic engineering; CMOS; Noise shaping; Sigma; Physics; Computer science; Algorithm; Engineering","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":[0.0002634485,0.0004032958,0.0004310025,0.0002411144,0.000291114,0.0008299249,0.001026389,0.0007767325,0.00242671],"category_scores_gemma":[0.0004528081,0.0003546305,0.0003427019,0.0002998115,0.0001973968,0.0007007061,0.0002660484,0.0004494283,0.000619124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008213702,"about_ca_system_score_gemma":0.0005574485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002347714,"about_ca_topic_score_gemma":0.00376032,"domain_scores_codex":[0.9998167,0.00003583437,0.000006666895,0.00002679525,0.00009828056,0.00001573026],"domain_scores_gemma":[0.9998662,0.00004585612,0.00002705761,0.00001612916,0.00003810586,0.0000065651],"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":[0.0001473759,0.00008313265,0.0008791102,0.0002579812,0.00006465511,0.0001926784,0.0001758125,0.8273792,0.08656143,0.03440437,0.001501868,0.04835241],"study_design_scores_gemma":[0.000005737379,0.00004450611,0.0002350037,0.00001038695,0.000009590651,0.00005548952,0.00001012028,0.9886835,0.007121389,0.00135478,0.002463533,0.00000601302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05307178,0.001926876,0.923515,0.0003522024,0.00006949177,0.000099226,0.0002260264,0.000708285,0.02003113],"genre_scores_gemma":[0.8238539,0.001784731,0.1547041,0.0001845876,0.00004974977,0.0001648827,0.0002190662,0.0001011716,0.0189378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00242671,"threshold_uncertainty_score":0.008118153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01778017823653971,"score_gpt":0.2091508181186376,"score_spread":0.1913706398820979,"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."}}