{"id":"W1670575345","doi":"","title":"Active noise control in enclosure with virtual microphone","year":2000,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Enclosure; Microphone; Noise-canceling microphone; Acoustics; QUIET; Noise (video); Context (archaeology); Computer science; Active noise control; Engineering; Microphone array; Noise reduction; Geology; Loudspeaker; Telecommunications; Physics; Computer vision","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":[0.0002328615,0.0004199396,0.0003935272,0.0001123209,0.0001933492,0.000511519,0.0004288854,0.0004378133,0.001756923],"category_scores_gemma":[0.0004319347,0.0001622225,0.0002856682,0.00009878071,0.0004387363,0.000494702,0.0007302437,0.0003666546,0.0004691893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001711815,"about_ca_system_score_gemma":0.0001613706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009164206,"about_ca_topic_score_gemma":0.0009790676,"domain_scores_codex":[0.9997925,0.00005242183,0.000006752914,0.00005380262,0.00007322196,0.00002136001],"domain_scores_gemma":[0.9998512,0.00006328429,0.00001434154,0.0000211417,0.00003982032,0.00001021153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005636791,0.00008028777,0.0005601888,0.000183157,0.00006695569,0.0001689229,0.0002462607,0.528214,0.2230109,0.03119193,0.002658263,0.2130556],"study_design_scores_gemma":[0.000008022193,0.00009949786,0.0002654415,0.000005783588,0.000008066158,0.00003616298,0.00001732683,0.9811153,0.0143724,0.002253034,0.001810408,0.000008490701],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03430381,0.0002253578,0.9609128,0.00005944876,0.00006418626,0.000006974968,0.00001414281,0.0002405448,0.004172844],"genre_scores_gemma":[0.9032334,0.0002556386,0.07961562,0.00004870673,0.00006260107,0.00003556219,0.00005324667,0.0001116695,0.01658365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001756923,"threshold_uncertainty_score":0.005877554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002877544270075111,"score_gpt":0.1655066542436964,"score_spread":0.1626291099736213,"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."}}