{"id":"W2371768671","doi":"","title":"Hyper-finite Element Method on the Structural Analysis of Shear Wall","year":2000,"lang":"en","type":"article","venue":"","topic":"Soil, Finite Element Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Finite element method; Shear wall; Computation; Mixed finite element method; Finite element limit analysis; Extended finite element method; Structural engineering; Shear (geology); Smoothed finite element method; Computer science; Applied mathematics; Mathematics; Boundary knot method; Algorithm; Engineering; Materials science; Boundary element method; Composite material","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006541302,0.000168656,0.0002966483,0.0002181571,0.00004219145,0.00001914605,0.0002371806,0.00004976987,0.01649671],"category_scores_gemma":[0.000039329,0.0001105783,0.0001897374,0.0009148443,0.00001875772,0.00004499807,0.00001714632,0.0001476364,0.00006287143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000443203,"about_ca_system_score_gemma":0.000005393433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007297044,"about_ca_topic_score_gemma":0.00002461366,"domain_scores_codex":[0.9987764,0.0001690998,0.0003484149,0.0001725647,0.0002816592,0.0002518464],"domain_scores_gemma":[0.9986216,0.0007967273,0.00002818803,0.0004803237,0.00002482207,0.00004831468],"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":[0.00002072754,0.00001839056,0.002515139,0.0000155031,0.001797753,0.000001315565,0.0006359359,0.8234308,0.001361471,0.003889552,0.0008191451,0.1654943],"study_design_scores_gemma":[0.0002455452,0.00006722551,0.02104984,0.000006532982,0.0006001624,5.41299e-7,0.0001186946,0.9428648,0.01683567,0.0003641508,0.01761795,0.0002288311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.886708,0.0001054935,0.03371672,0.0004617575,0.0001565073,0.0003006025,0.00002963878,0.0002998273,0.07822143],"genre_scores_gemma":[0.8451493,0.00006144597,0.1525501,0.0006040294,0.00005949523,0.00002567936,0.00002521694,0.00004114056,0.001483624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1652654,"threshold_uncertainty_score":0.9844024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02464061875138296,"score_gpt":0.2988516419764071,"score_spread":0.2742110232250242,"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."}}