{"id":"W2160959130","doi":"10.1002/num.10009","title":"Refined mixed finite element method for the elasticity problem in a polygonal domain","year":2002,"lang":"en","type":"article","venue":"Numerical Methods for Partial Differential Equations","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Mathematics; Sobolev space; Lagrange multiplier; Elasticity (physics); Finite element method; Mathematical analysis; Displacement field; Applied mathematics; Geometry; Mathematical optimization","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001030418,0.000357786,0.0005735162,0.0001441055,0.000278116,0.00006476258,0.0003553529,0.0001402798,0.0002129975],"category_scores_gemma":[0.003589947,0.0002853349,0.0003160553,0.0005954871,0.00008135561,0.0001064978,0.00007100795,0.0003276192,0.00001259889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001543181,"about_ca_system_score_gemma":0.00001800668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006232214,"about_ca_topic_score_gemma":0.00000441872,"domain_scores_codex":[0.9970701,0.0005995964,0.0009758613,0.0004173342,0.0002924252,0.0006447359],"domain_scores_gemma":[0.9735599,0.02568566,0.0001626025,0.0003168715,0.0001206999,0.0001543035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001020562,0.0003449749,0.000004331604,0.0001440833,0.0001777421,3.984365e-7,0.0003797314,0.4459229,0.005454565,0.09456064,0.0002437051,0.4526649],"study_design_scores_gemma":[0.0009049934,0.0001562041,0.00007929441,0.0000217241,0.00009779365,0.000001195323,0.00003298292,0.8314492,0.001702019,0.1594127,0.005858386,0.0002834609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00006528589,0.000173251,0.9960055,0.0007816379,0.0008077653,0.001758583,0.000108805,0.0002136533,0.00008549308],"genre_scores_gemma":[0.02137021,0.00001081488,0.974923,0.0001083138,0.0002823503,0.003131888,0.0000337049,0.00008310337,0.00005661828],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4523814,"threshold_uncertainty_score":0.9999599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07148462939033288,"score_gpt":0.38406434160933,"score_spread":0.3125797122189971,"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."}}