{"id":"W2037733484","doi":"10.1121/1.3587748","title":"On the use of a variational boundary element/finite element approach to predict the vibroacoustic response of structures.","year":2011,"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":"Finite element method; Orthotropic material; Boundary element method; Structural acoustics; Acoustics; Baffle; Sound power; Computation; Sound transmission class; Sound pressure; Acoustic radiation; Enclosure; Point (geometry); Boundary value problem; Boundary (topology); Mathematical analysis; Mathematics; Computer science; Physics; Geometry; Radiation; Structural engineering; Sound (geography); Vibration; Optics; Engineering; Algorithm","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":[0.002539085,0.000227869,0.0004106807,0.00005475873,0.0002207846,0.00002349496,0.001458317,0.00007195316,0.0002044056],"category_scores_gemma":[0.001566567,0.00009864,0.0003740118,0.0005440105,0.001011272,0.00007541088,0.000361561,0.0008070274,0.000002207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001705214,"about_ca_system_score_gemma":0.0002278664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004008826,"about_ca_topic_score_gemma":2.014735e-7,"domain_scores_codex":[0.996522,0.0005955654,0.0008760243,0.0001218046,0.001490269,0.000394343],"domain_scores_gemma":[0.9935066,0.004769468,0.0005049172,0.0007394156,0.0003627283,0.0001168818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001783086,0.0002856303,0.00004266841,0.0001123552,0.0009970102,5.282619e-7,0.005761688,0.9328214,0.02487418,0.000272426,0.03221411,0.0008349196],"study_design_scores_gemma":[0.0006166811,0.0009706576,0.007787713,0.0001062395,0.0005551494,0.0000217116,0.003430714,0.9796911,0.00190613,0.004037492,0.0007033166,0.0001730315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05290355,0.0001253864,0.9440723,0.001562772,0.0001873875,0.0006855425,0.0001613894,0.00001473564,0.0002869352],"genre_scores_gemma":[0.9489515,0.00009737482,0.05007651,0.0006662402,0.0001139365,0.000009429276,0.000001045174,0.00003766392,0.00004624626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.896048,"threshold_uncertainty_score":0.4022422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04087667781376458,"score_gpt":0.2452703266558521,"score_spread":0.2043936488420875,"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."}}