{"id":"W2255773000","doi":"10.5539/mas.v10n4p158","title":"Numerical Analysis of Propagation of Nonlinear Waves in Prestressed Solids","year":2016,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Elasticity and Wave Propagation","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nonlinear system; Viscoelasticity; Wave propagation; Superposition principle; Numerical analysis; Finite element method; Elasticity (physics); Physics; Mechanics; Shock wave; Anisotropy; Mathematical analysis; Classical mechanics; Mathematics; Optics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001984864,0.00005756206,0.0001504029,0.0003014067,0.00001812993,0.000006146096,0.0001547068,0.00002878943,0.000007457878],"category_scores_gemma":[0.00003704753,0.00004235522,0.00002352173,0.001070514,0.0001744546,0.0001151137,0.00001959244,0.00003621493,0.000002275257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003402459,"about_ca_system_score_gemma":0.00002889018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000803211,"about_ca_topic_score_gemma":0.000008224209,"domain_scores_codex":[0.9992554,0.000006008348,0.0002120407,0.00014175,0.000252259,0.0001325921],"domain_scores_gemma":[0.999697,0.00004431316,0.00004639779,0.0001404779,0.00004254686,0.00002926513],"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":[0.00000725795,0.00002373509,0.001245523,0.00002029906,0.00001105836,1.080265e-7,0.0002519091,0.122937,0.8682908,0.0004461448,4.055802e-7,0.006765705],"study_design_scores_gemma":[0.00008292327,0.000007457797,0.01207921,0.00001147424,0.00001491807,4.151847e-8,0.000004807709,0.6248532,0.3624895,0.0004186293,7.873774e-7,0.00003704316],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5397627,0.000005379191,0.4593912,0.00001159252,0.00001219872,0.00006246935,0.000003906155,0.00001796636,0.0007325803],"genre_scores_gemma":[0.9975713,0.000004675969,0.002395819,0.000002514932,0.000006490051,0.000007386916,0.000001469229,0.000004365065,0.000005980158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5058013,"threshold_uncertainty_score":0.1727196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050391641894995,"score_gpt":0.2238399123768444,"score_spread":0.2133359959578945,"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."}}