{"id":"W4230868780","doi":"10.22215/etd/2010-06279","title":"10+Gbps serial data transmission over a Tyco 34\" FR4 backplane channel using amplitude-optimized bit-edge equalization with an adjustment of LMS error derivation points","year":2010,"lang":"en","type":"dissertation","venue":"","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Backplane; Channel (broadcasting); Equalization (audio); Transmission (telecommunications); Computer science; Data transmission; Bit error rate; Enhanced Data Rates for GSM Evolution; Bit (key); Electronic engineering; Telecommunications; Computer hardware; Engineering; Computer network","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":[0.0001554041,0.0002957723,0.0001525547,0.0002958279,0.0002784615,0.0003436748,0.0002579014,0.0002039848,0.008005569],"category_scores_gemma":[0.0002655271,0.0001173691,0.00007792511,0.0003071258,0.0001676635,0.0003045744,0.0001616342,0.000229741,0.001198847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003209852,"about_ca_system_score_gemma":0.0002972114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002179001,"about_ca_topic_score_gemma":0.003995216,"domain_scores_codex":[0.9999262,0.00001064015,0.000003845737,0.00001448575,0.00002567398,0.00001916154],"domain_scores_gemma":[0.9999076,0.0000265765,0.00001043392,0.00001499293,0.00003203702,0.000008304164],"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":[0.00132209,0.0001348747,0.001684522,0.000150161,0.00003265569,0.0002369095,0.0001503648,0.003121444,0.9084611,0.001879182,0.003770716,0.07905598],"study_design_scores_gemma":[0.0001307125,0.0007277097,0.005693757,0.00002062085,0.00004163738,0.0002763047,0.00006201834,0.03482223,0.9419568,0.0001989601,0.01604503,0.00002422095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9447765,0.00009582678,0.0319536,0.0001517125,0.00006794606,0.00008183323,0.0005957808,0.002713557,0.01956326],"genre_scores_gemma":[0.9346676,0.0001417474,0.03405989,0.00004072479,0.00002959377,0.00003513202,0.0009738677,0.0001588032,0.02989263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008005569,"threshold_uncertainty_score":0.02678126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04798607440819114,"score_gpt":0.3101088645230684,"score_spread":0.2621227901148772,"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."}}