{"id":"W3199029053","doi":"10.1002/nme.6834","title":"Stabilization of the extended finite element method for stiff embedded interfaces and inclusions","year":2021,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Engineering","topic":"Numerical methods in engineering","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Extended finite element method; Homogenization (climate); Finite element method; Classification of discontinuities; Discontinuity (linguistics); Orthogonality; Boundary value problem; Method of mean weighted residuals; Mathematics; Mathematical analysis; Structural engineering; Applied mathematics; Galerkin method; Geometry; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009285392,0.0005063955,0.0006408835,0.0003763413,0.0002581218,0.0004117925,0.0007889569,0.0008626596,0.001685126],"category_scores_gemma":[0.001446873,0.0002268637,0.0003875746,0.000171523,0.000714542,0.0004937396,0.001159509,0.0006008708,0.0002517089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002774458,"about_ca_system_score_gemma":0.000435234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001389624,"about_ca_topic_score_gemma":0.0009710089,"domain_scores_codex":[0.9997756,0.00009531585,0.000009646721,0.0000288066,0.00007362607,0.00001693614],"domain_scores_gemma":[0.9996073,0.0001984705,0.00005224623,0.00003667836,0.00008612468,0.0000192047],"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":[0.00008536547,0.00003627434,0.0004259397,0.00006483829,0.00001835869,0.00006917868,0.00008195735,0.9512589,0.01396281,0.01548538,0.0002629346,0.01824803],"study_design_scores_gemma":[0.000003205857,0.00001039913,0.00002878409,0.000002715959,6.398264e-7,0.000003616138,0.000002652103,0.9986857,0.0004761196,0.0005949739,0.0001895564,0.000001674267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0389805,0.0001205111,0.9584619,0.00006257622,0.00003366847,0.00002831603,0.00002213949,0.0001232989,0.002167128],"genre_scores_gemma":[0.6782596,0.0001633997,0.3141634,0.00007878819,0.00003607221,0.0001764584,0.0001074566,0.0001124991,0.006902275],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001685126,"threshold_uncertainty_score":0.005637288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394210408104433,"score_gpt":0.3910491047999235,"score_spread":0.3671070007188792,"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."}}