{"id":"W2050332837","doi":"10.3166/remn.15.619-642","title":"An h-adaptive spacetime-discontinuous Galerkin method for linear elastodynamics","year":2006,"lang":"en","type":"article","venue":"European Journal of Computational Mechanics","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Materials Research; University of Windsor; National Science Foundation","keywords":"Discontinuous Galerkin method; Physics; Spacetime; Mathematics; Adaptive mesh refinement; Galerkin method; Finite element method; Geometry; Mathematical analysis; Algorithm; Applied mathematics; Computational science","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":[0.001295213,0.0002318945,0.000361724,0.0001851261,0.00007864222,0.00004051976,0.0003256573,0.0000362907,0.000009721016],"category_scores_gemma":[0.0001572304,0.000230329,0.0001757021,0.0002136646,0.00002067907,0.0002290521,0.00002626574,0.0002836802,0.00001182462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000950043,"about_ca_system_score_gemma":0.00004042165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.543841e-7,"about_ca_topic_score_gemma":2.96381e-7,"domain_scores_codex":[0.9980446,0.0003427713,0.0008224068,0.0001603385,0.0004021232,0.0002278046],"domain_scores_gemma":[0.9977177,0.00106261,0.0004062019,0.0001302416,0.0005638459,0.000119411],"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":[0.00005424089,0.00007069789,5.403281e-7,0.00002802694,0.00004966029,0.00002757778,0.00004489774,0.9424063,0.0008365901,0.03909126,0.0002325504,0.01715768],"study_design_scores_gemma":[0.000487621,0.0004398609,0.0000340076,0.00004390202,0.00003363252,0.0001298087,0.00004222327,0.7353101,0.0002263042,0.2622382,0.0008354688,0.000178839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002156444,0.0001207795,0.9962122,0.0000606954,0.0006271233,0.0001777994,0.00003676352,0.0001128199,0.0004953526],"genre_scores_gemma":[0.1182107,0.000003639729,0.8809608,0.00005463994,0.0006269506,0.000002246084,0.00001706855,0.0001058472,0.00001802418],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2231469,"threshold_uncertainty_score":0.9392543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582688025036417,"score_gpt":0.2892923224197801,"score_spread":0.273465442169416,"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."}}