{"id":"W342791498","doi":"10.1007/978-3-642-18775-9_67","title":"On a Discontinuous Galerkin Method for Radiation-Diffusion Problems","year":2004,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Discontinuous Galerkin method; A priori and a posteriori; Galerkin method; Diffusion; Mathematics; Radiation transport; Finite element method; Applied mathematics; Class (philosophy); Radiation; Mathematical analysis; Physics; Computer science; Monte Carlo method; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004674142,0.000862261,0.0007196986,0.0008503537,0.0005078178,0.001124955,0.001010327,0.001111911,0.005959809],"category_scores_gemma":[0.0007394503,0.0004203682,0.0006598494,0.001020539,0.00131255,0.001308699,0.0009060398,0.002521079,0.002188365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004565058,"about_ca_system_score_gemma":0.000442811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006873276,"about_ca_topic_score_gemma":0.0008056202,"domain_scores_codex":[0.9997723,0.00005391813,0.00001049145,0.00002787827,0.0001239458,0.00001155646],"domain_scores_gemma":[0.9997866,0.0001274971,0.000007449487,0.00002467236,0.00004396927,0.000009844958],"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":[0.00004128869,0.0000719992,0.00009361147,0.0005288068,0.00002667912,0.0001612101,0.0002921862,0.04794776,0.01249295,0.7050657,0.023982,0.2092958],"study_design_scores_gemma":[0.00002139113,0.00005904085,0.0002914288,0.0001828328,0.00003034222,0.0004343577,0.00005035047,0.1879619,0.006800471,0.5556933,0.2484244,0.00005020317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002407472,0.007350715,0.943884,0.0005175357,0.0009556368,0.00005105252,0.0001003073,0.0003555962,0.04437773],"genre_scores_gemma":[0.058956,0.01509818,0.755047,0.0006715907,0.000784307,0.0002172034,0.0004044874,0.001100547,0.1677206],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005959809,"threshold_uncertainty_score":0.01993757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454838756073145,"score_gpt":0.2992683783516552,"score_spread":0.2747199907909237,"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."}}