{"id":"W4413326821","doi":"10.1016/j.measurement.2025.118701","title":"Synergistic use of inertial actuators for advanced noise control in transparent-patched vibrating plates","year":2025,"lang":"en","type":"article","venue":"Measurement","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"HORIZON EUROPE Marie Sklodowska-Curie Actions; H2020 Marie Skłodowska-Curie Actions; European Commission","keywords":"Actuator; Inertial frame of reference; Noise (video); Noise control; Materials science; Acoustics; Engineering; Computer science; Physics; Electrical engineering; Noise reduction; Classical mechanics; Artificial intelligence","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":[0.0002104539,0.0001286326,0.0002754603,0.00008291093,0.00002820291,0.00001469662,0.00007559745,0.00006550829,0.00001580095],"category_scores_gemma":[0.0003039793,0.0001077796,0.00007115996,0.0001289289,0.0000179538,0.00009206026,0.000004879642,0.00006848999,7.797218e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007902926,"about_ca_system_score_gemma":0.00002832152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001453806,"about_ca_topic_score_gemma":0.0001070261,"domain_scores_codex":[0.999086,0.00002878986,0.0003984927,0.000132469,0.0001674745,0.0001868302],"domain_scores_gemma":[0.9996034,0.0001440267,0.00002565134,0.0001051597,0.00008736677,0.00003439256],"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":[0.0002133815,0.00005521972,0.002286289,0.0001402278,0.0000768034,7.73287e-7,0.00008799598,0.285762,0.7005008,0.0007101925,0.00009261351,0.01007368],"study_design_scores_gemma":[0.006590727,0.0001277759,0.008826292,0.0002737527,0.0000747616,8.357701e-8,0.00004485575,0.8277642,0.1551886,0.0002355097,0.0006225848,0.0002508244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2262062,0.0003611133,0.7720402,0.0002029658,0.0003807457,0.0005839257,0.00002125301,0.00009441563,0.0001092325],"genre_scores_gemma":[0.9985141,0.000009881374,0.001176795,0.00008867398,0.00002482587,0.000157487,0.000006049917,0.000009953723,0.00001219458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.772308,"threshold_uncertainty_score":0.4395126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03960299540636859,"score_gpt":0.2355389138542237,"score_spread":0.1959359184478551,"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."}}