{"id":"W4385374297","doi":"10.1002/zamm.202300443","title":"Uniform anti‐plane stress field within two nonlinear elastic non‐elliptical inhomogeneities","year":2023,"lang":"en","type":"article","venue":"ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik","topic":"Numerical methods in engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nonlinear system; Plane (geometry); Field (mathematics); Stress field; Matrix (chemical analysis); Shear modulus; Linear elasticity; Materials science; Physics; Stress (linguistics); Modulus; Elastic modulus; Mechanics; Geometry; Mathematical analysis; Mathematics; Composite material; Finite element method","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002430689,0.0002821666,0.0002692172,0.0003150922,0.0003736282,0.0006403286,0.0003968583,0.0004131615,0.000766299],"category_scores_gemma":[0.0006166649,0.0002196185,0.0001584899,0.0001568489,0.001634217,0.0006375284,0.000864602,0.0003197302,0.0001039103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003561311,"about_ca_system_score_gemma":0.0002514293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007443066,"about_ca_topic_score_gemma":0.0004217113,"domain_scores_codex":[0.9998364,0.00002498354,0.000005821244,0.00003986008,0.00005497702,0.00003789598],"domain_scores_gemma":[0.9996452,0.00009284807,0.0000992511,0.00004959832,0.00004701337,0.00006600008],"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":[0.0006762493,0.0002395156,0.006656041,0.0000993604,0.00007253048,0.00187294,0.0007943551,0.1890505,0.7512804,0.04433243,0.0001434036,0.004782378],"study_design_scores_gemma":[0.00006743168,0.0003122175,0.01378743,0.00000933848,0.00003680529,0.0004661091,0.00050148,0.8722567,0.1038161,0.008067616,0.0006101985,0.00006855633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851945,0.00002982564,0.01261084,0.00003751971,0.000005385232,0.00001053581,0.000006812793,0.00001928465,0.002085322],"genre_scores_gemma":[0.9980867,0.00001388475,0.00112188,0.000007361151,0.000003020411,0.000005817915,0.000005143815,0.000003818813,0.0007524571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000766299,"threshold_uncertainty_score":0.002583981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351932529968932,"score_gpt":0.2660788542977384,"score_spread":0.2525595289980491,"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."}}