{"id":"W4409170520","doi":"10.1016/j.apm.2025.116121","title":"Analysis of dynamic stress fields in finite strain deformations of compressible materials with moving cracks","year":2025,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"Elasticity and Wave Propagation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministry of Higher Education, Malaysia; Ministry of Higher Education, Research and Innovation; Université de Tunis El Manar; Ministère de l’Enseignement Supérieur et de la Recherche Scientifique; Providence Health Care","keywords":"Compressibility; Dynamic stress; Strain (injury); Stress–strain curve; Stress (linguistics); Structural engineering; Finite strain theory; Materials science; Finite element method; Mechanics; Classical mechanics; Engineering; Physics","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":[0.0001348258,0.00009060597,0.0003356317,0.0002901734,0.00001800641,0.00001145343,0.00008542118,0.00007173147,0.00003656759],"category_scores_gemma":[0.000009882987,0.0000805018,0.00003130121,0.0004361205,0.00002936056,0.00005953337,0.00001919862,0.00008984186,0.000001119805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001822405,"about_ca_system_score_gemma":0.000009350937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007196012,"about_ca_topic_score_gemma":0.00002161938,"domain_scores_codex":[0.9992379,0.000009215069,0.0004471944,0.0000838429,0.0001049332,0.0001169175],"domain_scores_gemma":[0.9994877,0.000263114,0.00006187278,0.0001428327,0.00002807361,0.00001642031],"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":[0.000009090311,0.00004058769,0.00001625104,0.000839575,0.0001407019,1.936824e-7,0.0004526312,0.9632236,0.004715423,0.03013742,1.807863e-7,0.0004243981],"study_design_scores_gemma":[0.000137479,0.000005889985,0.00007682918,0.0002824497,0.0001914735,6.361108e-8,0.0001541846,0.9512093,0.02125547,0.02661976,9.912903e-8,0.00006699764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3339686,0.00001160009,0.6638207,0.000004505071,0.000006194412,0.0001052429,0.00002825106,0.00002194144,0.002032904],"genre_scores_gemma":[0.9723335,0.00001011732,0.02758317,0.000003955448,0.000001739398,0.00002206753,0.00003115911,0.000007429306,0.000006867981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6383649,"threshold_uncertainty_score":0.3282768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008889160968795332,"score_gpt":0.2182328061489612,"score_spread":0.2093436451801659,"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."}}