{"id":"W2151810269","doi":"10.1109/tim.2009.2013670","title":"Pseudorandom Stimuli Generation for Testing Time-to-Digital Converters on an FPGA","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Polytechnique Montréal; Nortel (Canada)","funders":"","keywords":"Field-programmable gate array; VHDL; Computer science; Computer hardware; Pulse generator; Pseudorandom number generator; Gate array; Hardware description language; Electronic engineering; Least significant bit; Software; Signal generator; Engineering; Electrical engineering; Voltage; Jitter; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000957251,0.0001478309,0.0001083108,0.0001298845,0.0001587076,0.0000741604,0.00005210557,0.00004427091,0.00002020435],"category_scores_gemma":[0.000008950336,0.0001471518,0.00002669227,0.0001048873,0.0000159872,0.0002685248,2.729798e-7,0.00007070499,0.0000251297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001417908,"about_ca_system_score_gemma":0.00000901776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.740674e-7,"about_ca_topic_score_gemma":0.000002009503,"domain_scores_codex":[0.9992368,0.000007830513,0.000187908,0.0001932373,0.0002201679,0.0001540652],"domain_scores_gemma":[0.9997101,0.00001787206,0.00002337704,0.0001132323,0.00006589694,0.00006951603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007885136,0.00009162616,0.000002785298,0.00001098896,0.00002379256,2.302439e-7,0.0001000199,0.08708151,0.0669246,0.00001399348,0.0002245256,0.8454471],"study_design_scores_gemma":[0.00594485,0.003901984,0.0001793518,0.000148144,0.00008341705,0.000006250659,0.0004338576,0.3724393,0.6134471,0.0003902202,0.00234305,0.0006824574],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1132222,0.00001006579,0.8845263,0.0001877175,0.0003565064,0.0006728857,0.00004004202,0.0004526663,0.0005316378],"genre_scores_gemma":[0.9938471,0.00001101722,0.005593169,0.0003206985,0.00003186662,0.0001034159,0.00001196793,0.00001463408,0.00006616672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8806249,"threshold_uncertainty_score":0.6000676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06556225673241867,"score_gpt":0.2680326043183974,"score_spread":0.2024703475859788,"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."}}