{"id":"W1821043348","doi":"10.1109/iscas.2001.921956","title":"An improved bang-bang phase detector for clock and data recovery applications","year":2002,"lang":"en","type":"article","venue":"","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"CMC Microsystems","keywords":"Jitter; Phase detector; Phase-locked loop; Voltage-controlled oscillator; Electronic engineering; CMOS; Detector; Charge pump; Phase noise; Phase frequency detector; Electronic circuit; Clock recovery; Physics; Computer science; Electrical engineering; Voltage; Capacitor; Clock signal; 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":[0.0002340749,0.0002719445,0.0002710941,0.0002186651,0.0001499815,0.0003751011,0.0007564682,0.0003500815,0.001734],"category_scores_gemma":[0.0005148842,0.0002313087,0.0001509976,0.0002840195,0.0001534491,0.0006472918,0.0002298056,0.0004140455,0.0005545637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002451282,"about_ca_system_score_gemma":0.0003921395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004695898,"about_ca_topic_score_gemma":0.001111584,"domain_scores_codex":[0.9997645,0.00002568229,0.00001563723,0.00004154169,0.0001251465,0.00002757916],"domain_scores_gemma":[0.999693,0.00008572757,0.00004564774,0.00002771423,0.0001254937,0.00002240169],"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":[0.0002362946,0.00002344388,0.0004016054,0.0001316293,0.00000909944,0.00008870212,0.00003163526,0.0005207122,0.9558956,0.001202352,0.0003927951,0.04106607],"study_design_scores_gemma":[0.00006821276,0.0007661213,0.002029013,0.00002227233,0.00007254483,0.000896816,0.0000141039,0.02929688,0.9507219,0.0003186,0.0157523,0.00004128764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3625071,0.005533745,0.6193044,0.0005799066,0.00038729,0.0002541669,0.0004071861,0.004221476,0.006804876],"genre_scores_gemma":[0.7222095,0.000873298,0.2685996,0.0003144875,0.00007433929,0.0000621889,0.0002148053,0.00009102596,0.007560822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001734,"threshold_uncertainty_score":0.005800784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04283776307424038,"score_gpt":0.3093864677560018,"score_spread":0.2665487046817614,"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."}}