{"id":"W2661498989","doi":"10.1109/ccece.2017.7946760","title":"Design of a time mode SerDes using differential pulse position modulation (DPPM)","year":2017,"lang":"en","type":"article","venue":"","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"SerDes; CMOS; Computer science; Electronic engineering; Modulation (music); Bandwidth (computing); Clock recovery; Chip; Pulse-amplitude modulation; Pulse-position modulation; Pulse-frequency modulation; Electronic circuit; Frequency modulation; Pulse (music); Computer hardware; Clock signal; Electrical engineering; Amplitude modulation; Engineering; Telecommunications; Acoustics","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":[0.0003373898,0.0003017523,0.0003047626,0.0003533363,0.0001760896,0.0005022383,0.0007644752,0.0003657952,0.0010608],"category_scores_gemma":[0.000373227,0.0002205012,0.0002291874,0.0001940495,0.0002160409,0.0004129101,0.0001943419,0.0003044507,0.0004407558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003069794,"about_ca_system_score_gemma":0.0003559641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001829164,"about_ca_topic_score_gemma":0.0003619565,"domain_scores_codex":[0.9997844,0.0000355915,0.00001961578,0.0000664068,0.00007023233,0.00002376284],"domain_scores_gemma":[0.9997082,0.00006324597,0.00006429068,0.00003779717,0.0001083855,0.00001813772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004070136,0.0001166623,0.001847865,0.0003300129,0.00009144118,0.0005443704,0.0001784539,0.01170134,0.8381934,0.01937628,0.001660836,0.1255523],"study_design_scores_gemma":[0.000127096,0.001392874,0.001475078,0.00004141493,0.0001077722,0.001578348,0.00004237515,0.1299271,0.8268564,0.0008454533,0.03757042,0.00003562633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1179379,0.0006742092,0.8715964,0.0002075296,0.000309543,0.0002792293,0.0001408537,0.001140457,0.007713848],"genre_scores_gemma":[0.6969173,0.0005106609,0.2959746,0.0001866946,0.00010832,0.0001353117,0.0001447469,0.00004248136,0.00597995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0010608,"threshold_uncertainty_score":0.003548801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03206971307987649,"score_gpt":0.2761073781456658,"score_spread":0.2440376650657893,"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."}}