{"id":"W4391573576","doi":"10.1007/s12206-024-0101-5","title":"An improved stability compensation for feedforward active noise control systems with acoustic feedback","year":2024,"lang":"en","type":"article","venue":"Journal of Mechanical Science and Technology","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Canadian Institute for Theoretical Astrophysics","funders":"","keywords":"Feed forward; Control theory (sociology); Active noise control; Infinite impulse response; Attenuation; Computer science; Noise control; Noise (video); Parameterized complexity; Adaptive control; Noise reduction; Engineering; Control engineering; Control (management); Bandwidth (computing); Algorithm; Physics; Digital filter; Telecommunications","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":[0.0006888951,0.0001070162,0.0002342315,0.0002595311,0.00007216144,0.00007099668,0.0002575208,0.0001039157,0.000001754098],"category_scores_gemma":[0.0001723784,0.00007505777,0.00002240852,0.0004647611,0.0002494421,0.0005198126,0.00002345801,0.0002666923,3.574111e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002110184,"about_ca_system_score_gemma":0.00008872394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001608999,"about_ca_topic_score_gemma":0.000004651007,"domain_scores_codex":[0.9991545,0.00001021164,0.0002403408,0.000180708,0.0001925955,0.0002216261],"domain_scores_gemma":[0.9992055,0.00009481597,0.00006981877,0.000139672,0.0004023898,0.00008775544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007586374,0.00001794758,0.000007712091,0.00006590028,0.00002299668,0.000006626407,0.00002355256,0.001493563,0.9716838,0.005758086,0.000006598634,0.02083735],"study_design_scores_gemma":[0.0005276044,0.002091051,0.00007970485,0.0001581383,0.00005019942,0.0002074996,0.0003525153,0.7772363,0.2094434,0.009405447,0.0002880934,0.0001600284],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2599109,0.0001271798,0.738997,0.0002136466,0.0001921412,0.0002768497,0.00001187615,0.0002610895,0.000009332367],"genre_scores_gemma":[0.9863397,0.00002381695,0.01354534,0.000008033882,0.00004663556,0.00002234252,2.429222e-7,0.00001293005,9.790031e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7757428,"threshold_uncertainty_score":0.3060767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097827593339867,"score_gpt":0.2509819303452012,"score_spread":0.2400036544118025,"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."}}