{"id":"W2042857967","doi":"10.1049/el.2010.1344","title":"Frequency synthesis using digital-to-frequency conversion and filtering","year":2010,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Delta-sigma modulation; Phase-locked loop; Electronic engineering; Digital filter; Computer science; Frequency multiplier; Frequency modulation; Frequency synthesizer; Filter (signal processing); Ranging; Topology (electrical circuits); Engineering; Radio frequency; Electrical engineering; Telecommunications; Phase noise","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":[0.0002048129,0.0002841509,0.0002788837,0.0004009973,0.0002480456,0.0005232734,0.0004234623,0.0004286834,0.002559555],"category_scores_gemma":[0.0003822261,0.0001374692,0.0002160732,0.0003568242,0.0002515722,0.0004702572,0.000251041,0.0003249296,0.0007698869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002746772,"about_ca_system_score_gemma":0.0002368122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001947383,"about_ca_topic_score_gemma":0.0002970285,"domain_scores_codex":[0.9997726,0.00002867101,0.00001922789,0.00004648212,0.0001116173,0.00002139261],"domain_scores_gemma":[0.9998467,0.00004850751,0.00001879971,0.00003457586,0.00004117799,0.00001028296],"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":[0.0001187211,0.00006737398,0.0003187668,0.0002350876,0.00002782751,0.0001361793,0.0001019123,0.007655736,0.7402098,0.02852748,0.0009512863,0.2216499],"study_design_scores_gemma":[0.0001084098,0.0006627349,0.000701465,0.0000662684,0.00005523957,0.00105691,0.00003689852,0.1512017,0.7521465,0.01138258,0.08252454,0.00005683522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03329854,0.0004550838,0.9545566,0.0001306954,0.0002548452,0.00009101034,0.00006954639,0.001215794,0.0099279],"genre_scores_gemma":[0.4628644,0.0003643477,0.5298882,0.0001142492,0.0001185097,0.00009396446,0.0001316601,0.00007534303,0.006349352],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002559555,"threshold_uncertainty_score":0.008562505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006101195955394038,"score_gpt":0.2013002800528887,"score_spread":0.1951990840974947,"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."}}