{"id":"W1746307252","doi":"","title":"Index to predict the stability of decentralized adaptive feedback active noise control system","year":2000,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Control theory (sociology); Nyquist stability criterion; Stability (learning theory); Noise (video); Frequency domain; Control system; Decentralised system; Active noise control; Convergence (economics); Adaptive control; Control (management); Computer science; Mathematics; Engineering; Noise reduction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002096527,0.0005362902,0.0004987918,0.0003763233,0.0004084691,0.000664152,0.0004853976,0.0006890285,0.01339736],"category_scores_gemma":[0.002702943,0.0001085059,0.0001393347,0.0003765749,0.000356008,0.0007597654,0.0004185754,0.0006790241,0.002551943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005539812,"about_ca_system_score_gemma":0.000562474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002957613,"about_ca_topic_score_gemma":0.002134376,"domain_scores_codex":[0.9996561,0.00003918829,0.00001936735,0.00006856304,0.0001930527,0.00002364771],"domain_scores_gemma":[0.9992631,0.0002496079,0.0001141155,0.00005046893,0.0002972289,0.00002551487],"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":[0.0003183535,0.00009227762,0.004701515,0.0008255088,0.00004586657,0.0007081006,0.0002614277,0.5156549,0.03972196,0.2091523,0.02753473,0.2009831],"study_design_scores_gemma":[0.00001465332,0.0001132664,0.002037976,0.00007883977,0.00001027378,0.0001923724,0.00003901549,0.9453468,0.004435911,0.03380433,0.01389854,0.00002803355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02739195,0.001668989,0.9220079,0.0005044379,0.0005783712,0.0001324264,0.0007469591,0.001166234,0.04580267],"genre_scores_gemma":[0.9305394,0.001050306,0.04534471,0.0001681266,0.0002326316,0.000303366,0.0007456691,0.0001363781,0.02147937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01339736,"threshold_uncertainty_score":0.04481864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006384252765139795,"score_gpt":0.1894387226533822,"score_spread":0.1830544698882424,"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."}}