{"id":"W1485845877","doi":"10.1109/pacrim.1993.407154","title":"Adaptive filtering for HDSL equalizers","year":2002,"lang":"en","type":"article","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University; University of Victoria","funders":"","keywords":"Crosstalk; Intersymbol interference; Computer science; Equalizer; Adaptive equalizer; Electronic engineering; Telecommunications; Engineering; Channel (broadcasting)","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":[0.0002121008,0.0002539771,0.0001208465,0.0001998827,0.0002329616,0.0004394563,0.000257179,0.000434465,0.003625504],"category_scores_gemma":[0.0008970175,0.0001347137,0.0001859112,0.0002219086,0.0001913021,0.0004347959,0.000198798,0.0003381512,0.0006807308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004858838,"about_ca_system_score_gemma":0.0002870738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002672978,"about_ca_topic_score_gemma":0.003449692,"domain_scores_codex":[0.9998407,0.00003160618,0.000006237744,0.00003062,0.00007261241,0.00001823283],"domain_scores_gemma":[0.9998049,0.0001030828,0.00001874694,0.00001779117,0.00005027243,0.000005249859],"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":[0.0004931348,0.0000975111,0.001944752,0.000130909,0.00006834407,0.0002020661,0.0001903459,0.463926,0.2157495,0.04754252,0.002194673,0.2674602],"study_design_scores_gemma":[0.00001991425,0.00007433095,0.0006839728,0.00001202495,0.00001435549,0.00006641661,0.00001342805,0.95965,0.02924404,0.005269728,0.004938627,0.00001310611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05380401,0.0003000541,0.9386589,0.000125845,0.00006948907,0.00002746623,0.00004395136,0.0004934563,0.006476773],"genre_scores_gemma":[0.7384136,0.0005624965,0.2443144,0.0001809261,0.00006904235,0.0000761819,0.0001481096,0.00007622799,0.01615896],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003625504,"threshold_uncertainty_score":0.01212853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07213535041849285,"score_gpt":0.2379566002353236,"score_spread":0.1658212498168307,"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."}}