{"id":"W2092855091","doi":"10.1103/physrevd.82.104051","title":"Discontinuous Galerkin method for the spherically reduced Baumgarte-Shapiro-Shibata-Nakamura system with second-order operators","year":2010,"lang":"en","type":"article","venue":"Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"","keywords":"Applied mathematics; Scheme (mathematics); Galerkin method; Order (exchange); Stability (learning theory); Discontinuous Galerkin method; Computer science; Physics; Algorithm; Mathematics; Statistical physics; Mathematical analysis; Finite element method","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":[0.001051625,0.0007062434,0.001611055,0.00006272893,0.0004787697,0.0001171054,0.0004857992,0.0002107866,0.000002869476],"category_scores_gemma":[0.0016224,0.0005231983,0.000296247,0.0007792737,0.0005473591,0.0002943802,0.0001018483,0.0009231037,0.0000309227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005131557,"about_ca_system_score_gemma":0.0001100802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003606687,"about_ca_topic_score_gemma":0.0001001122,"domain_scores_codex":[0.9958194,0.0007043045,0.001276829,0.0009382239,0.0004307234,0.0008305394],"domain_scores_gemma":[0.9922807,0.005456524,0.0004426686,0.0007632896,0.0006400564,0.0004168036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003259157,0.0009602384,0.002691065,0.01093621,0.0008914885,0.0000389644,0.002384334,0.00239525,0.02706472,0.7749695,0.007927585,0.1694148],"study_design_scores_gemma":[0.0009455426,0.000645587,0.001082586,0.0007398213,0.0007415015,0.0001108872,0.0003063,0.007111715,0.001280213,0.9817659,0.004511316,0.0007586646],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7092118,0.01418927,0.2688864,0.004227214,0.0005009794,0.002645986,0.0000728404,0.0002521636,0.00001334325],"genre_scores_gemma":[0.8999696,0.00371113,0.09008235,0.004060405,0.0004317014,0.00154692,0.0000689168,0.000112378,0.00001663569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2067964,"threshold_uncertainty_score":0.9997219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02235091060406072,"score_gpt":0.3422375883373736,"score_spread":0.3198866777333128,"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."}}