{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003118036,0.00005001298,0.00005216273,0.00002759333,0.00003138443,0.00000995241,0.0001031674,0.00001889151,0.0004075549],"category_scores_gemma":[0.000008383468,0.00004837611,0.00003104061,0.00004776051,0.000006904203,0.00005731505,0.0000176828,0.00003378539,0.00006482479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000145406,"about_ca_system_score_gemma":7.175711e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003172524,"about_ca_topic_score_gemma":0.000005202304,"domain_scores_codex":[0.9997485,0.000003370041,0.00007647708,0.00004482139,0.00002460881,0.0001021953],"domain_scores_gemma":[0.9997063,0.00004762501,0.000005159453,0.0002009491,0.00001207819,0.00002784246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000277139,0.0002211503,0.0001140705,0.0001806506,0.0003448609,0.000004222556,0.003885626,0.05670521,0.02770715,0.1104356,0.5266953,0.2736785],"study_design_scores_gemma":[0.0002304906,0.00002524313,0.00003811534,0.000009171609,0.000005414997,0.000001101899,0.00008186825,0.788054,0.002766854,0.000307908,0.208344,0.0001358723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01033448,0.001755823,0.6140187,0.0002981144,0.0002987064,0.0002817955,0.00002443712,0.000851322,0.3721366],"genre_scores_gemma":[0.9690329,0.0001210104,0.02862318,0.00004746139,0.00002930987,0.00004318848,0.000002947846,0.0000157846,0.002084188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9586985,"threshold_uncertainty_score":0.446244,"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."}}