{"id":"W1963860060","doi":"10.1016/j.jmps.2007.07.010","title":"On a new extended finite element method for dislocations: Core enrichment and nonlinear formulation☆","year":2007,"lang":"en","type":"article","venue":"Journal of the Mechanics and Physics of Solids","topic":"Numerical methods in engineering","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Dislocation; Discontinuity (linguistics); Finite element method; Jump; Nonlinear system; Core (optical fiber); Materials science; Anisotropy; Partial dislocations; Mathematical analysis; Geometry; Mechanics; Structural engineering; Mathematics; Physics; Composite material; Engineering","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":[0.0006149407,0.00009312222,0.0001792437,0.00003320962,0.00003891353,0.00001012433,0.00009485674,0.00003199835,0.000001140535],"category_scores_gemma":[0.0001157927,0.00006744889,0.00007370697,0.0001068543,0.000003749584,0.00005424431,0.00002980552,0.0001297602,5.841463e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003158144,"about_ca_system_score_gemma":0.00001225224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.7134e-7,"about_ca_topic_score_gemma":3.365857e-7,"domain_scores_codex":[0.9993614,0.000008969405,0.0003031557,0.00005442758,0.000147311,0.0001247615],"domain_scores_gemma":[0.9991983,0.0004122515,0.0001333821,0.0001077092,0.00008435479,0.00006401194],"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":[0.00008314816,0.00008702381,0.00001115315,0.0001716449,0.0002203728,6.285995e-7,0.0006226315,0.4264633,0.02856289,0.263283,0.0001782844,0.280316],"study_design_scores_gemma":[0.0004254411,0.0001726963,0.00004899754,0.00007485584,0.00005168724,0.000003703885,0.00004100856,0.7242776,0.01675243,0.2575169,0.0005601178,0.00007456814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003420174,0.0002170741,0.995796,0.00008610926,0.0003146143,0.000128804,0.000006808647,0.000006705294,0.0000237087],"genre_scores_gemma":[0.3044915,0.0001071208,0.6950926,0.0000613596,0.0002162841,0.00000181403,6.047425e-7,0.00001858095,0.00001011031],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3010713,"threshold_uncertainty_score":0.2750486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02507926834380628,"score_gpt":0.3135101513036848,"score_spread":0.2884308829598785,"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."}}