{"id":"W2130613087","doi":"10.1109/iscas.1993.393968","title":"A high-quality analog oscillator using oversampling D/A conversion techniques","year":2002,"lang":"en","type":"article","venue":"1993 IEEE International Symposium on Circuits and Systems","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Oversampling; Generator (circuit theory); Signal generator; Oscillation (cell signaling); Computer science; Analogue filter; Analog signal; Quality (philosophy); SIGNAL (programming language); Filter (signal processing); Electronic engineering; Electrical engineering; Digital filter; Digital signal processing; Engineering; Physics; Telecommunications; Bandwidth (computing); Computer hardware","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":[0.0004732803,0.0004379358,0.0004723366,0.0005078396,0.0003810061,0.0007876351,0.001191578,0.000855248,0.00423344],"category_scores_gemma":[0.0008090301,0.0003329412,0.0002657614,0.0005550954,0.0002655337,0.0007746414,0.0004988993,0.0008082627,0.002064444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000245929,"about_ca_system_score_gemma":0.0003986611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003507829,"about_ca_topic_score_gemma":0.0007125482,"domain_scores_codex":[0.9994348,0.00006141538,0.0000379719,0.0001460025,0.0002836392,0.00003612842],"domain_scores_gemma":[0.9995961,0.0000835941,0.00005003891,0.00007381208,0.0001332177,0.00006325451],"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":[0.0001450328,0.0001015899,0.0006497708,0.0003424838,0.00003350047,0.0002178226,0.00006893346,0.0009960014,0.8053224,0.00448221,0.002519984,0.1851202],"study_design_scores_gemma":[0.0005410404,0.003139676,0.004348561,0.0001482872,0.0002478781,0.006838002,0.00006851282,0.05905828,0.7552795,0.003636236,0.1665262,0.0001678245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03928423,0.001310479,0.9458664,0.0003464213,0.0005523441,0.0004273705,0.0002839162,0.004118638,0.007810172],"genre_scores_gemma":[0.2712168,0.000728737,0.7139606,0.0003882197,0.0002975779,0.0002471004,0.0003159906,0.0002761032,0.01256881],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00423344,"threshold_uncertainty_score":0.0141623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05434609857682587,"score_gpt":0.2657087797233407,"score_spread":0.2113626811465149,"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."}}