{"id":"W3134443243","doi":"10.1049/cds2.12031","title":"Adaptive data‐transition decision feedback equaliser with edge emphasis","year":2021,"lang":"en","type":"article","venue":"IET Circuits Devices & Systems","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Equaliser; Baud; Jitter; Backplane; Channel (broadcasting); Computer science; Enhanced Data Rates for GSM Evolution; Electronic engineering; Engineering; Telecommunications; Computer hardware; Transmission (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":[0.0002150111,0.0003341709,0.0002031546,0.0002979778,0.0002305988,0.0004864958,0.00045422,0.0004763219,0.002381862],"category_scores_gemma":[0.0005720883,0.0001261977,0.0001782489,0.0001995331,0.0002195593,0.0004173042,0.000342077,0.0004466446,0.0002811052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003569601,"about_ca_system_score_gemma":0.0002000406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001144104,"about_ca_topic_score_gemma":0.001957201,"domain_scores_codex":[0.9997682,0.00003350477,0.00001541541,0.00005829838,0.00008222119,0.00004235],"domain_scores_gemma":[0.9997514,0.0001031126,0.00003224767,0.00002347248,0.00007829085,0.00001139472],"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":[0.002408521,0.0001766391,0.002068317,0.000216667,0.00008246474,0.0005251107,0.0002054226,0.05076452,0.6853129,0.007641055,0.001682675,0.2489156],"study_design_scores_gemma":[0.0002363765,0.0009621994,0.003500314,0.00007403277,0.0001101638,0.0007102314,0.00005769952,0.5113841,0.4680527,0.002201877,0.01264459,0.00006574089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3367594,0.0008359571,0.6488246,0.0003565722,0.0003600971,0.0001284814,0.0001838986,0.001639864,0.0109111],"genre_scores_gemma":[0.9528717,0.0001056442,0.04200443,0.0001348877,0.00002727558,0.00002470098,0.00006501601,0.00001772189,0.004748669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002381862,"threshold_uncertainty_score":0.007968128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04182125332759049,"score_gpt":0.2618185574915932,"score_spread":0.2199973041640027,"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."}}