{"id":"W1678954651","doi":"10.1109/mwscas.2015.7282113","title":"0.25–4 ns 185 MS/s 4-bit pulse-shrinking time-to-digital converter in 130 nm CMOS using a 2-step conversion scheme","year":2015,"lang":"en","type":"article","venue":"","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"CMOS; Linearity; Figure of merit; Materials science; Time-to-digital converter; Electronic engineering; Pulse (music); Pulse-width modulation; Voltage; Optoelectronics; Electrical engineering; Engineering; Jitter","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":[0.0001811023,0.0002577763,0.0002071923,0.0003179574,0.0001682794,0.0004667744,0.0005632111,0.0003048858,0.007482578],"category_scores_gemma":[0.0003543416,0.0001577422,0.0001110254,0.0003245494,0.0001422524,0.0004948635,0.0001579473,0.0003040695,0.001618685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003288083,"about_ca_system_score_gemma":0.0005200243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001165958,"about_ca_topic_score_gemma":0.002659205,"domain_scores_codex":[0.9998186,0.00001609133,0.00001152055,0.00003473451,0.00009838353,0.0000206579],"domain_scores_gemma":[0.999878,0.00003342744,0.00001914284,0.00001434429,0.00004398462,0.00001104728],"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":[0.0003139193,0.00008199304,0.0009574039,0.0002911017,0.00002543107,0.0001883414,0.000122615,0.003573169,0.8363454,0.005452005,0.005091778,0.1475567],"study_design_scores_gemma":[0.0002425267,0.001482788,0.004305232,0.0000759866,0.0000931066,0.001954315,0.00009673359,0.1036464,0.7983633,0.00157082,0.08808265,0.00008619317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3145921,0.001722069,0.5884209,0.0006783552,0.0004901877,0.000674347,0.001234375,0.01364164,0.0785461],"genre_scores_gemma":[0.7346954,0.0004680452,0.2401022,0.0002624427,0.00008414554,0.000150997,0.0004549495,0.0001665392,0.02361533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007482578,"threshold_uncertainty_score":0.02503175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03491197145130761,"score_gpt":0.2508706109621616,"score_spread":0.215958639510854,"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."}}