{"id":"W2460589855","doi":"10.1007/s10836-016-5604-2","title":"A Jitter Injection Signal Generation and Extraction System for Embedded Test of High-Speed Data I/O","year":2016,"lang":"en","type":"article","venue":"Journal of Electronic Testing","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Transceiver; Jitter; CMOS; SIGNAL (programming language); Electronic engineering; Chip; Transmission (telecommunications); Voltage; Computer science; Computer hardware; Sampling (signal processing); Electronic circuit; Engineering; Electrical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008488569,0.00066119,0.0006969865,0.00121576,0.000565295,0.0006268974,0.001593487,0.0006601054,0.003968086],"category_scores_gemma":[0.001289946,0.0003167155,0.0002150361,0.0005064539,0.000332734,0.0007622209,0.0006262963,0.000619078,0.001159625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006168399,"about_ca_system_score_gemma":0.0008118052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003878511,"about_ca_topic_score_gemma":0.0006452209,"domain_scores_codex":[0.9992031,0.0001241535,0.00004766465,0.0001470116,0.0004015873,0.00007653969],"domain_scores_gemma":[0.9986537,0.0004302044,0.0002819147,0.0002031607,0.0003186187,0.0001124722],"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":[0.000754583,0.0002968126,0.004443118,0.0003610864,0.00005975312,0.0004452609,0.0002422636,0.001824097,0.7792698,0.003887438,0.002754239,0.2056617],"study_design_scores_gemma":[0.0001841227,0.002313568,0.006816998,0.00006734963,0.0001178566,0.00202725,0.00005163594,0.05357347,0.913367,0.0008524125,0.02052845,0.00009995008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08532859,0.0006607112,0.8954582,0.0001491307,0.0002156804,0.0007626429,0.0005318121,0.01377656,0.00311678],"genre_scores_gemma":[0.6208418,0.0003531853,0.3686523,0.0005259032,0.0001737607,0.000821208,0.0005933272,0.0007290686,0.007309389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003968086,"threshold_uncertainty_score":0.01327461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04205751978642033,"score_gpt":0.2742954812027525,"score_spread":0.2322379614163322,"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."}}