{"id":"W2122044705","doi":"10.1049/el:20092136","title":"Comparison of amplitude-optimised bit-edge equalisation with pulse-width modulation in high-speed wireline application","year":2009,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Intersymbol interference; Pulse-amplitude modulation; Backplane; Wireline; Electronic engineering; Transmitter; Pulse-width modulation; Amplitude; Amplitude modulation; Pulse shaping; Computer science; Modulation (music); Bit error rate; Pulse (music); Engineering; Telecommunications; Bandwidth (computing); Electrical engineering; Frequency modulation; Physics; Optics; Channel (broadcasting); Acoustics; Detector; Wireless; Voltage","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":[0.00009412564,0.0001457476,0.0002125353,0.0001569308,0.00002875438,0.00001100638,0.000139066,0.00007179281,0.000003565736],"category_scores_gemma":[0.000009057165,0.0001427871,0.00001943811,0.0003509253,0.00003083703,0.0001527774,0.000007872348,0.0002004402,0.000002563625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002198101,"about_ca_system_score_gemma":0.00000893478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008376321,"about_ca_topic_score_gemma":0.00001989144,"domain_scores_codex":[0.9990637,0.00001230758,0.0003158468,0.0001764321,0.0001635474,0.0002682233],"domain_scores_gemma":[0.9996043,0.00002428174,0.00009450952,0.0002359473,0.00002445141,0.00001650665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003869232,0.00007497124,0.002701967,0.00001776556,0.00001568182,3.626499e-7,0.0001147733,0.7060785,0.2445921,0.003695402,0.00007739929,0.04259233],"study_design_scores_gemma":[0.001930676,0.000548267,0.02622644,0.00005792433,0.00002971489,0.000001546236,0.00005380629,0.8010364,0.1643755,0.004317188,0.0008869022,0.0005356374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6349121,0.0001672083,0.363833,0.0005731638,0.00002353395,0.0002144299,0.000001482727,0.0002184835,0.00005659435],"genre_scores_gemma":[0.9919243,0.00005533765,0.007737031,0.0001239459,0.00002353033,0.00001650033,0.0000978424,0.00001783193,0.000003712338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3570122,"threshold_uncertainty_score":0.582269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307655649532129,"score_gpt":0.2651757821967483,"score_spread":0.252099225701427,"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."}}