{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002053586,0.00011629,0.0002309747,0.0004699356,0.0000166254,0.000006560461,0.00005815502,0.00005694401,0.00002101939],"category_scores_gemma":[0.000009796181,0.0001178849,0.00002751801,0.0007266137,0.00002562619,0.0001259863,0.00002321855,0.000107295,0.000001476807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001078963,"about_ca_system_score_gemma":0.000002823314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006527646,"about_ca_topic_score_gemma":0.0001319368,"domain_scores_codex":[0.9993157,0.000005711689,0.0002466426,0.0001458737,0.0001013975,0.0001846627],"domain_scores_gemma":[0.999711,0.00004157671,0.00003348566,0.0001571566,0.00002439149,0.00003237061],"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":[0.0001118193,0.00003731685,0.1550974,0.0002185127,0.0001913857,0.000003473238,0.0004877278,0.6709995,0.120993,0.001112951,0.00002589744,0.05072098],"study_design_scores_gemma":[0.0001763001,0.00008123381,0.389636,0.00007522059,0.00003095912,6.246084e-7,0.00003701232,0.4448166,0.1648142,0.00004699907,0.0001121405,0.0001727586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9258366,0.00002661784,0.06692761,0.000002679588,0.00002173792,0.0001065404,0.000002636854,0.0002421583,0.006833402],"genre_scores_gemma":[0.9738166,0.00005775598,0.02600157,0.000008749126,0.000009725364,0.000004864349,0.000006649447,0.00001706694,0.00007707249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2345385,"threshold_uncertainty_score":0.4807207,"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."}}