{"id":"W2965201308","doi":"10.1016/j.jsv.2019.114873","title":"Numerical and experimental investigations on the acoustic performances of membraned Helmholtz resonators embedded in a porous matrix","year":2019,"lang":"en","type":"article","venue":"Journal of Sound and Vibration","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Multiphysics; Resonator; Helmholtz resonator; Helmholtz free energy; Acoustics; Acoustic impedance; Transmission loss; Materials science; Sound transmission class; Absorption (acoustics); Matrix (chemical analysis); Electrical impedance; Mechanics; Finite element method; Physics; Engineering; Structural engineering; Composite material; Ultrasonic sensor; Thermodynamics; Electrical engineering; Optoelectronics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002235484,0.00006106366,0.0001189652,0.0001080525,0.00003300387,0.00003326751,0.00005339978,0.00003021902,0.00003127807],"category_scores_gemma":[0.00004108455,0.0000415333,0.0000148036,0.0001098146,0.00004713075,0.0002085047,0.0000113162,0.0001528682,0.000001722344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003381948,"about_ca_system_score_gemma":0.00002076739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002757738,"about_ca_topic_score_gemma":9.06917e-7,"domain_scores_codex":[0.9994299,0.00002764373,0.0002245477,0.00004866541,0.0001876863,0.00008156261],"domain_scores_gemma":[0.9996777,0.0001390154,0.00006494619,0.0000506525,0.00002625499,0.00004146721],"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":[0.000297737,0.0001472966,0.01183088,0.0003759797,0.00009333948,0.000008635996,0.01111693,0.3067525,0.6658189,0.002819819,0.0001845578,0.0005534154],"study_design_scores_gemma":[0.002450926,0.001401005,0.02237195,0.0003003877,0.00003414679,0.0001263547,0.01310156,0.8911303,0.06330711,0.005436362,0.00004638111,0.0002935174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981639,0.0004479024,0.0008862496,0.0001130367,0.00006187704,0.0001004515,0.000001454437,0.000004601144,0.0002204761],"genre_scores_gemma":[0.9995109,0.00004639826,0.000355387,0.00002045061,0.00004409445,0.000001575432,7.422069e-7,0.00000742964,0.00001298765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6025118,"threshold_uncertainty_score":0.1693679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475983899194038,"score_gpt":0.2624378041006268,"score_spread":0.2476779651086864,"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."}}