{"id":"W2159468381","doi":"10.1109/icccas.2008.4657843","title":"Decision-Feedback-Equalizer for 10-Gb/s backplane transceivers for highly lossy 56-inch channels","year":2008,"lang":"en","type":"article","venue":"","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Backplane; Intersymbol interference; Adaptive equalizer; Electronic engineering; Transceiver; Amplifier; Computer science; CMOS; Equalization (audio); Filter (signal processing); Variable-gain amplifier; Channel (broadcasting); Engineering; Electrical engineering; Operational amplifier; Telecommunications; Computer hardware","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":[0.0003678672,0.0003880341,0.0002323399,0.0003635173,0.0004078736,0.0004208545,0.0004586446,0.0004001838,0.003815839],"category_scores_gemma":[0.0006806789,0.0002156749,0.000179453,0.0001773328,0.0002086588,0.0004930684,0.0002697545,0.0004925933,0.0005316503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005559121,"about_ca_system_score_gemma":0.0003989337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009660775,"about_ca_topic_score_gemma":0.00331839,"domain_scores_codex":[0.9997273,0.0000355471,0.00002044151,0.00006139799,0.00009979372,0.00005551614],"domain_scores_gemma":[0.9996868,0.0001396883,0.00004679814,0.0000248224,0.00008428439,0.00001754127],"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":[0.001078138,0.0001322319,0.002232496,0.0001628908,0.00009029231,0.000326666,0.0002018414,0.007679144,0.8025988,0.004161904,0.001944251,0.1793913],"study_design_scores_gemma":[0.0002505601,0.0008309796,0.004695237,0.00004982686,0.0001790467,0.0007125452,0.00007087013,0.1215769,0.8535846,0.001363199,0.01661942,0.00006678834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5304873,0.001081429,0.4591257,0.0006600216,0.0003715994,0.0001534246,0.0001929651,0.002252625,0.005674907],"genre_scores_gemma":[0.8840272,0.0002907115,0.107755,0.0002478643,0.0001273621,0.00004947091,0.0001534044,0.00005390951,0.007295064],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003815839,"threshold_uncertainty_score":0.01276523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03009326719935845,"score_gpt":0.258963931239099,"score_spread":0.2288706640397405,"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."}}