{"id":"W1989382922","doi":"10.1109/isspit.2007.4458111","title":"Performance Analysis of VS-APA, QR-RLS and Approximated APA on Feedback Cancellation in Hearing Aids","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Algorithm; Adaptive filter; Speech recognition; SIGNAL (programming language); Signal processing; Digital signal processing","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":[0.001081198,0.0006972246,0.0005520328,0.0005123409,0.0003372382,0.0006921244,0.0004284594,0.0007937608,0.002505313],"category_scores_gemma":[0.005579563,0.0001821013,0.0003519991,0.0003455632,0.0004931434,0.0005802908,0.0005705911,0.0004138963,0.0005541278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003492223,"about_ca_system_score_gemma":0.0004896137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002963536,"about_ca_topic_score_gemma":0.001807044,"domain_scores_codex":[0.998813,0.0004447921,0.00005745866,0.00009412374,0.0004594,0.0001312548],"domain_scores_gemma":[0.996233,0.00255037,0.0001142587,0.0002076076,0.0008261144,0.00006868439],"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":[0.003979016,0.0001567735,0.003869468,0.0006184872,0.0003047614,0.0003482061,0.0004326289,0.4707235,0.1223094,0.007074999,0.00147197,0.388711],"study_design_scores_gemma":[0.00004315488,0.0004106426,0.001551489,0.00001928168,0.00004398782,0.0002054934,0.00005940749,0.9725837,0.02381743,0.0006518825,0.0005767108,0.00003680445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3482372,0.001816269,0.6403555,0.0001672205,0.00009807893,0.00006425876,0.0001074116,0.002251787,0.006902314],"genre_scores_gemma":[0.9332293,0.0003636702,0.06431399,0.00006743172,0.00002264859,0.00004214762,0.0001078416,0.00007745202,0.001775475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002963536,"threshold_uncertainty_score":0.008381069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536118702275407,"score_gpt":0.2436964773810686,"score_spread":0.2283352903583145,"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."}}