{"id":"W2799272913","doi":"10.1139/tcsme-2008-0037","title":"A CHARACTERISTIC-BASED FINITE VOLUME ELEMENT METHOD FOR CONVECTION-DIFFUSION-REACTION EQUATION","year":2008,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Thailand Research Fund","keywords":"Convection–diffusion equation; Finite volume method; Finite element method; Discretization; Numerical solution of the convection–diffusion equation; Convection; Control volume; Finite volume method for one-dimensional steady state diffusion; Mathematics; Numerical analysis; Mixed finite element method; Mathematical analysis; Mechanics; Physics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004837089,0.0003406168,0.0006748057,0.000426942,0.0004941466,0.0005116755,0.001204327,0.0008446404,0.002931446],"category_scores_gemma":[0.00106276,0.0002373052,0.0005444532,0.0007390896,0.0004403285,0.0006362228,0.0006798678,0.001045635,0.0008380162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003984267,"about_ca_system_score_gemma":0.001349699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001729171,"about_ca_topic_score_gemma":0.001629243,"domain_scores_codex":[0.9997155,0.00006432291,0.00001441148,0.00003446572,0.0001552538,0.00001597479],"domain_scores_gemma":[0.9996644,0.0001503785,0.00002835517,0.00003494791,0.0001056912,0.0000162337],"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":[0.00008887508,0.00009058192,0.001520611,0.0006966212,0.00004080449,0.0002657807,0.0003199349,0.594035,0.06157357,0.1220284,0.004734244,0.2146056],"study_design_scores_gemma":[0.00001396921,0.00003604695,0.0001744832,0.00001796411,0.000008658432,0.0001490177,0.00001878191,0.9790192,0.004070206,0.004704248,0.01177056,0.00001695485],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003020807,0.0001818586,0.9944457,0.00005341933,0.00005474927,0.00005647944,0.00004889446,0.0001337864,0.002004301],"genre_scores_gemma":[0.1573967,0.0006415803,0.8340089,0.00009995038,0.00005234995,0.0005847705,0.0003106047,0.0001559628,0.006749148],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002931446,"threshold_uncertainty_score":0.009806693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03211388098005191,"score_gpt":0.2665937307246854,"score_spread":0.2344798497446335,"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."}}