{"id":"W3214439915","doi":"10.1109/ius52206.2021.9593890","title":"Acoustic Characterization of Inhomogenous Layers using Finite Element Method","year":2021,"lang":"en","type":"article","venue":"","topic":"Composite Material Mechanics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute of Ukranian Studies, University of Alberta; Norges Forskningsråd","keywords":"Acoustics; Finite element method; Materials science; Speed of sound; Sound pressure; Shear (geology); Shear waves; MATLAB; Volume fraction; Plane (geometry); Range (aeronautics); Structural engineering; Geometry; Physics; Composite material; Mathematics; Computer science; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006860046,0.0000739571,0.000122452,0.00004194584,0.00001593453,0.00001747935,0.00004457239,0.00003364803,0.0003089158],"category_scores_gemma":[0.00001148392,0.00008221649,0.00002426254,0.0001428121,0.000002097836,0.00004468795,0.00003799219,0.00003180947,0.000005868981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004578293,"about_ca_system_score_gemma":0.00001571878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000644215,"about_ca_topic_score_gemma":0.000004655817,"domain_scores_codex":[0.9995245,0.00002404013,0.0001783154,0.00008098734,0.00008113247,0.0001109655],"domain_scores_gemma":[0.9997466,0.00002158936,0.00002346947,0.0001339407,0.00004906856,0.00002530021],"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":[0.000002015652,0.000009557472,0.000009526702,0.00007001813,0.00002014445,0.000005547485,0.00009545934,0.08642033,0.9117999,0.0001199744,0.000001156322,0.001446381],"study_design_scores_gemma":[0.00006401081,0.000007596034,0.00004316901,0.00001291157,0.00001330101,0.000005646897,0.0000164406,0.3888307,0.6108022,0.00002015239,0.0001265514,0.00005736097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4264047,0.00001000736,0.5730219,0.000004187209,0.0002879944,0.00004462935,0.0000106638,0.00006332873,0.0001525687],"genre_scores_gemma":[0.954044,0.00001547035,0.04577972,0.00002629383,0.00004199645,0.00000242251,0.00003203818,0.00002262737,0.00003539401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5276394,"threshold_uncertainty_score":0.3382411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643458246937434,"score_gpt":0.2403942870808117,"score_spread":0.2239597046114373,"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."}}