{"id":"W2040710018","doi":"10.4208/jcm.1206-m3572","title":"A Discontinuous Galerkin Method for the Fourth-Order Curl Problem","year":2012,"lang":"en","type":"article","venue":"Journal of Computational Mathematics","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hunan Provincial Science and Technology Department; National Natural Science Foundation of China; Program for Changjiang Scholars and Innovative Research Team in University; Centre de Recherches Mathématiques; U.S. Department of Energy","keywords":"Curl (programming language); Discontinuous Galerkin method; Mathematics; Galerkin method; Applied mathematics; Order (exchange); Mathematical analysis; Calculus (dental); Physics; Computer science; Finite element method; Economics; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004463911,0.0004188076,0.0005836308,0.0004100412,0.0004018754,0.0004524647,0.0007821971,0.0008693099,0.001250486],"category_scores_gemma":[0.0006841358,0.0002072407,0.0004797694,0.0002464875,0.0007122373,0.0006306187,0.0007247847,0.00106863,0.0003716995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003266076,"about_ca_system_score_gemma":0.0007185322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008898761,"about_ca_topic_score_gemma":0.0008636765,"domain_scores_codex":[0.9997444,0.00008445242,0.00001017954,0.0000319972,0.0001122607,0.00001682553],"domain_scores_gemma":[0.9997761,0.0001067629,0.00002113969,0.0000261178,0.00005210179,0.00001793433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001407187,0.0002155187,0.001409596,0.0007348627,0.00006138195,0.0002841188,0.0003836844,0.572526,0.08216231,0.1312259,0.002519806,0.2083361],"study_design_scores_gemma":[0.00001169823,0.00003702038,0.00008524596,0.00001063388,0.000004665437,0.00005873274,0.00001053635,0.986704,0.00391131,0.004272943,0.004881172,0.00001211434],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005684935,0.0001649079,0.9929892,0.0000730966,0.00004091582,0.00002080168,0.00001616243,0.00007440818,0.0009354504],"genre_scores_gemma":[0.1661608,0.0003612915,0.8291891,0.000106185,0.00005720981,0.0001620588,0.00009208365,0.0001077084,0.003763524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001250486,"threshold_uncertainty_score":0.004183233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03139567859639809,"score_gpt":0.3379705156481842,"score_spread":0.3065748370517861,"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."}}