{"id":"W2007036192","doi":"10.1007/s00034-015-0009-5","title":"65-nm CMOS Voltage-to-Time Converter for 5-GS/s Time-Based ADCs","year":2015,"lang":"en","type":"article","venue":"Circuits Systems and Signal Processing","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Effective number of bits; Jitter; CMOS; Voltage; Electronic engineering; Bandwidth (computing); Electrical engineering; Time-to-digital converter; Inverter; Computer science; Linearity; Physics; Topology (electrical circuits); Clock signal; Engineering; Telecommunications","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":[0.0002359679,0.0002242219,0.0003237234,0.0001160714,0.0001246457,0.0001554822,0.0001691444,0.0001360905,0.00001083931],"category_scores_gemma":[0.0000385621,0.0002017566,0.00003347492,0.0001632889,0.00005171295,0.0002405407,0.00002746149,0.0001078169,0.00006563953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000724663,"about_ca_system_score_gemma":0.00005298863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003770492,"about_ca_topic_score_gemma":2.428669e-7,"domain_scores_codex":[0.998879,0.000009939199,0.0002943123,0.0002704053,0.000186145,0.0003602338],"domain_scores_gemma":[0.9994542,0.00005098327,0.00006024291,0.0001480759,0.0001385793,0.0001479081],"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":[0.00005859417,0.0001046162,0.001180043,0.00439488,0.0001607391,0.00003715241,0.001466429,0.05643116,0.1285763,0.0004489498,0.02155968,0.7855815],"study_design_scores_gemma":[0.00139542,0.0002452836,0.00003387128,0.0007505942,0.00004633931,0.0000250253,0.000516408,0.9507325,0.00700505,0.0005391958,0.03804105,0.0006693204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02785623,0.004205894,0.9631426,0.00004583661,0.000348901,0.0008740833,0.00004240227,0.00110413,0.002379863],"genre_scores_gemma":[0.998113,0.000002553782,0.0005034359,0.00007880852,0.0001615257,0.000136819,0.00001302432,0.00005170959,0.0009390826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9702568,"threshold_uncertainty_score":0.8227395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02659414933780437,"score_gpt":0.2371041602987037,"score_spread":0.2105100109608994,"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."}}