{"id":"W1551491875","doi":"10.1109/ccece.2015.7129170","title":"A DLL fractional M/N frequency synthesizer","year":2015,"lang":"en","type":"article","venue":"","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Jitter; Direct digital synthesizer; Frequency synthesizer; Phase-locked loop; Frequency multiplier; Computer science; Electronic engineering; Delta-sigma modulation; Delay-locked loop; Loop (graph theory); Frequency modulation; Bandwidth (computing); Mathematics; 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":[0.0002440198,0.0002475513,0.0002299796,0.0002824382,0.0003785978,0.0006195318,0.0006039828,0.0004082888,0.002031857],"category_scores_gemma":[0.0005178815,0.000134649,0.0001545758,0.0001918137,0.0002400784,0.0006297898,0.0002991699,0.0003445235,0.0006015478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007858381,"about_ca_system_score_gemma":0.000598594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001227952,"about_ca_topic_score_gemma":0.001526786,"domain_scores_codex":[0.9996753,0.00004866529,0.0000165975,0.00007777834,0.0001564222,0.00002522578],"domain_scores_gemma":[0.9998185,0.00004540632,0.00004406294,0.00003820082,0.00004350505,0.00001032638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000453862,0.00009025724,0.001851272,0.0006392932,0.00003879991,0.0005073016,0.0002101258,0.05728234,0.4875212,0.07129379,0.004437068,0.3756747],"study_design_scores_gemma":[0.0001061764,0.0005563292,0.001110644,0.00008408079,0.00006625217,0.001453505,0.00004514538,0.5633216,0.2802773,0.009135148,0.1437807,0.00006314625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06527181,0.001484476,0.8969831,0.0005269359,0.000193347,0.0001154321,0.0002025232,0.004008076,0.03121429],"genre_scores_gemma":[0.7778304,0.0004332571,0.2138724,0.0002988465,0.00006872017,0.00005741797,0.0001263654,0.00006327721,0.00724928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002031857,"threshold_uncertainty_score":0.006797254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02992463741328999,"score_gpt":0.2416053687866747,"score_spread":0.2116807313733848,"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."}}