{"id":"W4239657161","doi":"10.1121/1.4798806","title":"Tunneling effect on the sound transmission loss of a flat structure coupled with a porous material","year":2013,"lang":"en","type":"article","venue":"Proceedings of meetings on acoustics","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"","keywords":"Sound transmission class; Finite element method; Transfer matrix; Transfer-matrix method (optics); Modal; Acoustics; Materials science; Quantum tunnelling; Transmission loss; Boundary element method; Modal analysis; Boundary value problem; Computation; Aperture (computer memory); Structural engineering; Porous medium; Matrix (chemical analysis); Porosity; Engineering; Composite material; Physics; Computer science","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":[0.0004534098,0.0003566157,0.0004557951,0.0001529173,0.0000976891,0.00008967796,0.0003675037,0.0001642179,0.0001328822],"category_scores_gemma":[0.0003308277,0.000219628,0.00005379784,0.0003127319,0.0001754541,0.0001093791,0.00004939008,0.0004582,0.000007618482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008496829,"about_ca_system_score_gemma":0.0000226091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001786174,"about_ca_topic_score_gemma":1.834085e-7,"domain_scores_codex":[0.997968,0.00000978469,0.0004364372,0.0002780787,0.0008233027,0.0004843774],"domain_scores_gemma":[0.9986006,0.0004268917,0.0001845624,0.0001547601,0.0005082358,0.0001249567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003539427,0.00003069415,0.0002945608,0.001270511,0.00008711253,0.000002516722,0.000602076,0.01345426,0.9828626,0.0001543008,0.0004384675,0.0004489841],"study_design_scores_gemma":[0.00206395,0.003235925,0.001652442,0.001591658,0.0002380222,0.00004713844,0.001428728,0.2852547,0.7014154,0.002340268,0.00002108498,0.000710681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964821,0.00002123133,0.001152709,0.0001051121,0.00009241872,0.0008901596,0.00004088965,0.0001362483,0.001079086],"genre_scores_gemma":[0.9978775,0.00001639103,0.001744346,0.00002972205,0.000153705,0.00004248123,0.000004350217,0.0001058838,0.00002561649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2814472,"threshold_uncertainty_score":0.8956172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00646496349459388,"score_gpt":0.205195353522706,"score_spread":0.1987303900281121,"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."}}