{"id":"W2184048855","doi":"10.1109/sped.2015.7343092","title":"An optimized affine projection algorithm for acoustic echo cancellation","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Algorithm; Echo (communications protocol); Computer science; Regularization (linguistics); Convergence (economics); Context (archaeology); Adaptive filter; Projection (relational algebra); Mathematical optimization; Mathematics; Artificial intelligence","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":[0.00009294237,0.0001025053,0.0001018161,0.00006235205,0.00002228344,0.00001766501,0.00006185412,0.00005328148,0.00001124012],"category_scores_gemma":[0.00001729788,0.0001011539,0.0000196606,0.00008195096,0.000008674975,0.0002364846,0.000005684735,0.00005178815,0.000002756865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001773405,"about_ca_system_score_gemma":0.00001441796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000182092,"about_ca_topic_score_gemma":0.00001429434,"domain_scores_codex":[0.9995438,0.000006807071,0.0001120548,0.0001265383,0.00006999756,0.000140839],"domain_scores_gemma":[0.999682,0.00001565398,0.00001740577,0.0001379075,0.00008682607,0.00006017136],"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":[0.0000243894,0.00002013025,0.000003879943,0.0000197839,0.00001295386,7.634022e-7,0.000110685,0.6216329,0.03405488,0.00006723319,0.001798703,0.3422537],"study_design_scores_gemma":[0.0003980202,0.0001251086,0.00001351606,0.000007703276,0.000006843428,0.000002483035,0.00004265762,0.958011,0.03865382,0.0006207171,0.001982375,0.000135769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006524599,0.00002301489,0.9931227,0.000006813783,0.0002250927,0.0004480957,0.00001198779,0.002006312,0.003503505],"genre_scores_gemma":[0.09853207,0.0000116016,0.9007159,0.000007437624,0.0001813184,0.0001570412,0.0000261854,0.00003112693,0.0003372726],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3421179,"threshold_uncertainty_score":0.4124937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03167071827947434,"score_gpt":0.2882670188055785,"score_spread":0.2565963005261042,"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."}}