{"id":"W1991920060","doi":"10.1155/2013/364982","title":"Low-Jitter 0.1-to-5.8 GHz Clock Synthesizer for Area-Efficient Per-Port Integration","year":2013,"lang":"en","type":"article","venue":"Journal of Electrical and Computer Engineering","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Jitter; Electronic engineering; Phase-locked loop; Voltage-controlled oscillator; CMOS; Electronic oscillator; Phase noise; Engineering; Direct digital synthesizer; Coupling (piping); Electrical engineering; Voltage; Frequency synthesizer; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006796877,0.0001416588,0.0002117749,0.0001833953,0.00002610233,0.00004859508,0.0001264683,0.00006093086,0.000008101322],"category_scores_gemma":[0.00003053668,0.0001077914,0.00006516335,0.0001345483,0.000007177914,0.000102364,0.00002641168,0.0001985165,0.000004239235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005493836,"about_ca_system_score_gemma":0.000005134264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.452789e-7,"about_ca_topic_score_gemma":4.819008e-8,"domain_scores_codex":[0.9992632,0.000002676929,0.000298034,0.0000934041,0.0001129932,0.0002297535],"domain_scores_gemma":[0.9996376,0.00008330782,0.00003875871,0.00007469226,0.00008207622,0.000083536],"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":[0.00001530032,0.00006737692,0.00008365163,0.00006843211,0.00009608368,0.00000729666,0.0001041006,0.6687561,0.02338497,0.0006520563,0.00412149,0.3026432],"study_design_scores_gemma":[0.0001997719,0.0002623893,0.00117825,0.00008050966,0.00001366118,0.00005451282,0.000007210973,0.9825842,0.0118918,0.0001642087,0.003394697,0.0001688146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3270319,0.00021278,0.6722162,0.0001028668,0.0002357437,0.0001098877,4.614037e-7,0.00007768184,0.00001237687],"genre_scores_gemma":[0.9499873,0.0000506763,0.04959825,0.00007446705,0.0002305481,0.00002146317,4.76653e-7,0.00001959026,0.00001723014],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6229554,"threshold_uncertainty_score":0.4395606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006177833629927643,"score_gpt":0.1912287525020245,"score_spread":0.1850509188720969,"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."}}