{"id":"W2170073136","doi":"10.1109/icc.1988.13698","title":"Nonlinear adaptive filtering for echo cancellation","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Nonlinear system; Convergence (economics); Computer science; Adaptive filter; Table (database); Echo (communications protocol); Volterra series; SIGNAL (programming language); Control theory (sociology); Algorithm; Artificial intelligence; Data mining","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":[0.00005805721,0.0001173994,0.0001029277,0.00004597531,0.00003496366,0.00001080415,0.00005968984,0.00004535663,0.00004790042],"category_scores_gemma":[0.00002587073,0.000122844,0.00003697252,0.00006961713,0.00001180708,0.0001205221,0.000005780503,0.00006200567,0.000007419731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008976548,"about_ca_system_score_gemma":0.000007012025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002761787,"about_ca_topic_score_gemma":0.000008384102,"domain_scores_codex":[0.999503,0.000005689528,0.0001226167,0.0001280076,0.00005225607,0.0001884403],"domain_scores_gemma":[0.9997343,0.00004041463,0.00001510921,0.0001370825,0.00003676025,0.00003628086],"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":[0.0000715138,0.00006452617,0.0001615854,0.000254417,0.0001490102,0.000008311865,0.0005304507,0.2665719,0.575671,0.07748482,0.00723704,0.07179542],"study_design_scores_gemma":[0.0002372525,0.00008537365,0.00004577816,0.00003070888,0.000005919549,0.000003819521,0.00004399591,0.1742827,0.7471115,0.004818254,0.07302763,0.0003070818],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002826831,0.0000645473,0.9565001,0.000004575799,0.0001528478,0.0002605706,0.00001603186,0.0009744889,0.03920005],"genre_scores_gemma":[0.4191603,0.00001618121,0.5802957,0.00001312808,0.00004699371,0.00007011421,0.000003725797,0.00002858243,0.0003652749],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4163334,"threshold_uncertainty_score":0.5009435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02366942337242913,"score_gpt":0.2474083641398373,"score_spread":0.2237389407674082,"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."}}