{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003350178,0.00008340963,0.00007717584,0.0000365442,0.00005689077,0.000023939,0.0002463495,0.00005058038,0.00005705093],"category_scores_gemma":[0.0000185465,0.00007611401,0.000009977596,0.00006419365,0.00002324285,0.0002749333,0.00005376858,0.00005046925,0.000006843309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001353604,"about_ca_system_score_gemma":0.000001144522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001958938,"about_ca_topic_score_gemma":0.00001425304,"domain_scores_codex":[0.9995373,0.000001575421,0.0001027595,0.0001894943,0.00002799204,0.0001409087],"domain_scores_gemma":[0.9993415,0.00003504859,0.00001303963,0.0005697625,0.00001057342,0.00003005816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005470313,0.00006315529,0.00002221139,0.00004392308,0.00002670593,2.295547e-7,0.00001290405,0.0001695766,0.02483079,0.0004991614,0.003746172,0.9705797],"study_design_scores_gemma":[0.000866608,0.0001827342,0.00001285342,0.000004991372,0.00002242421,0.000002604084,0.0001259786,0.7079352,0.01712057,0.001307037,0.2721732,0.000245867],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01442266,0.001302851,0.9812738,0.00005825136,0.00009202008,0.000542809,0.0002937282,0.001117965,0.0008959375],"genre_scores_gemma":[0.8690866,0.0007971096,0.1286687,0.0000706351,0.0001259362,0.0004386178,0.0001446058,0.00004119324,0.000626543],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9703338,"threshold_uncertainty_score":0.3103839,"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."}}