{"id":"W1983826837","doi":"10.1121/1.4805186","title":"Tunneling effect on the sound transmission loss of a flat structure coupled with a porous material","year":2013,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","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; Transfer matrix; Transfer-matrix method (optics); Finite element method; Materials science; Acoustics; Transmission loss; Modal; Quantum tunnelling; Porosity; Boundary element method; Matrix (chemical analysis); Computation; Transmission (telecommunications); Aperture (computer memory); Porous medium; Boundary value problem; Structural engineering; Composite material; Physics; Computer science; Mathematics; Mathematical analysis; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004871621,0.0003714655,0.0002331788,0.0003907422,0.0001608696,0.0003685013,0.000407817,0.0003289083,0.0007706761],"category_scores_gemma":[0.001285212,0.0002318632,0.0003030907,0.0002426984,0.000890867,0.0004714718,0.000532614,0.0002093942,0.0001222332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002501324,"about_ca_system_score_gemma":0.0001928572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005865549,"about_ca_topic_score_gemma":0.0005183452,"domain_scores_codex":[0.9997818,0.00004452428,0.00000806051,0.00004225726,0.00009190878,0.00003147924],"domain_scores_gemma":[0.9990435,0.0006337583,0.0001690349,0.00004103265,0.0000733358,0.00003930567],"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":[0.000674664,0.00008376011,0.005063104,0.000230511,0.00004841085,0.001317549,0.0003807445,0.07023908,0.9092735,0.001572362,0.000068217,0.0110481],"study_design_scores_gemma":[0.00006800153,0.002186937,0.03351313,0.00006081989,0.0001890344,0.001417871,0.0005730572,0.5514054,0.4093029,0.0006723474,0.0005276306,0.00008283275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848987,0.0001004578,0.0140739,0.00001368935,0.000005184329,0.000007992279,0.00001557652,0.0000684926,0.0008159359],"genre_scores_gemma":[0.9981028,0.0000626207,0.001614059,0.000005284007,0.00000187251,0.000004374521,0.000008122813,0.000005011761,0.0001957292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007706761,"threshold_uncertainty_score":0.002578199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006680457716466687,"score_gpt":0.2194189265555818,"score_spread":0.2127384688391152,"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."}}