{"id":"W2789921445","doi":"10.1007/s10470-018-1126-4","title":"A 0.5-bit step multi-resolution adjustable-input range reconfigurable noise-shaping TDC using multi-step quantizer gated-ring oscillators","year":2018,"lang":"en","type":"article","venue":"Analog Integrated Circuits and Signal Processing","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Ring oscillator; CMOS; Integral nonlinearity; Resolution (logic); 500 kHz; Electronic engineering; Time-to-digital converter; Bandwidth (computing); Dynamic range; Voltage; Sampling (signal processing); Electrical engineering; Computer science; Engineering; Detector; Converters; Jitter; Telecommunications","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":[0.0003289955,0.0003014268,0.0003338273,0.0005158001,0.0004190406,0.0004476635,0.001089413,0.0004687551,0.002791115],"category_scores_gemma":[0.0005631386,0.0001645498,0.0001766211,0.0003477457,0.0002222648,0.0004902374,0.0003461835,0.0004097076,0.0004677365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006063369,"about_ca_system_score_gemma":0.0005745473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001476145,"about_ca_topic_score_gemma":0.003280788,"domain_scores_codex":[0.9996977,0.00003440999,0.00001894614,0.0001022041,0.0001120813,0.00003480505],"domain_scores_gemma":[0.999661,0.0001030896,0.00003413109,0.00006861316,0.00009711923,0.00003608855],"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":[0.0006756136,0.0001450479,0.001153378,0.000199281,0.00004492673,0.000418887,0.000160639,0.005531263,0.7814885,0.00449806,0.002102042,0.2035825],"study_design_scores_gemma":[0.0002540332,0.001177822,0.004063937,0.00007405069,0.0001390302,0.001945193,0.00005900926,0.214327,0.7496455,0.001112728,0.02704386,0.0001576777],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4058762,0.002551406,0.5598681,0.0006478261,0.0007265036,0.0004012757,0.0006036974,0.008351956,0.02097311],"genre_scores_gemma":[0.8927615,0.0001663061,0.1008993,0.0002118072,0.00005639942,0.00004821794,0.0001537589,0.00007942928,0.005623419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002791115,"threshold_uncertainty_score":0.009337187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0617182901552157,"score_gpt":0.2823242057093985,"score_spread":0.2206059155541828,"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."}}