{"id":"W2087599451","doi":"10.1016/j.cam.2009.07.032","title":"Superconvergence of the <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si97.gif\" display=\"inline\" overflow=\"scroll\"><mml:mi>h</mml:mi></mml:math>-<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si98.gif\" display=\"inline\" overflow=\"scroll\"><mml:mi>p</mml:mi></mml:math> version of the finite element method in one dimension","year":2009,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Shanghai Normal University","keywords":"Superconvergence; Mathematics; Estimator; Convergence (economics); Finite element method; Calculus (dental); Boundary (topology); Applied mathematics; Algorithm; Mathematical analysis; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001600469,0.0008464475,0.0008051072,0.001818209,0.0009481884,0.002121388,0.001228323,0.001138177,0.01999304],"category_scores_gemma":[0.009928968,0.0003343353,0.0008816809,0.0007551418,0.001979739,0.002136466,0.001974386,0.002682457,0.001871616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009471131,"about_ca_system_score_gemma":0.001537598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006690122,"about_ca_topic_score_gemma":0.006859856,"domain_scores_codex":[0.9994282,0.0001600709,0.00002233959,0.00007615962,0.0002049753,0.0001081802],"domain_scores_gemma":[0.9960735,0.001691855,0.0002807921,0.0004396848,0.001181868,0.000332352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005324397,0.0002629555,0.007102705,0.000803065,0.0001465992,0.0006792084,0.0009782107,0.2845671,0.006859435,0.5905953,0.04874066,0.05873235],"study_design_scores_gemma":[0.00001900516,0.0000283918,0.001566166,0.00008904194,0.00001452137,0.0001065256,0.0001363546,0.9129882,0.002447508,0.07516893,0.007401236,0.00003407594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3126743,0.002985317,0.4240641,0.004878518,0.002335774,0.0001993582,0.002042562,0.001510453,0.2493097],"genre_scores_gemma":[0.8819662,0.0009107509,0.05099878,0.0005156198,0.0003315765,0.0001971044,0.001653181,0.002319467,0.06110739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01999304,"threshold_uncertainty_score":0.06688339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941463691250877,"score_gpt":0.2621684521580983,"score_spread":0.2427538152455895,"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."}}