{"id":"W4322733581","doi":"10.1080/10407790.2023.2174625","title":"Entropy-based artificial dissipation as a corrective mechanism for numerical stability in convective heat transfer","year":2023,"lang":"en","type":"article","venue":"Numerical Heat Transfer Part B Fundamentals","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Entropy production; Dissipation; Discretization; Entropy (arrow of time); Computer simulation; Conservation law; Numerical stability; Mathematics; Numerical analysis; Mechanics; Applied mathematics; Statistical physics; Computer science; Thermodynamics; Physics; Mathematical analysis","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":[0.00127335,0.0006302975,0.0004449384,0.0005973684,0.000558271,0.0008784691,0.0006491978,0.0004809831,0.0007868902],"category_scores_gemma":[0.004787016,0.000261744,0.0005481691,0.000291018,0.00137766,0.001401784,0.001285995,0.0008659306,0.0001554452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004919375,"about_ca_system_score_gemma":0.0005502556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003502509,"about_ca_topic_score_gemma":0.0002997058,"domain_scores_codex":[0.9994586,0.0001739903,0.00003235139,0.00005017949,0.000255846,0.00002901179],"domain_scores_gemma":[0.9984945,0.0008313401,0.0002053885,0.0002043062,0.0002161395,0.00004821445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004250404,0.0001367263,0.00351148,0.0003585732,0.00008785907,0.0002671353,0.0005134653,0.550234,0.1440185,0.1726361,0.0007863733,0.1270248],"study_design_scores_gemma":[0.00001227169,0.0001020619,0.0002997305,0.00001155639,0.00001196574,0.00004745919,0.000006414626,0.9724334,0.01983206,0.00600766,0.001216805,0.00001868206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08153659,0.0006452165,0.9129221,0.0002927123,0.0002405871,0.00005879838,0.00001145947,0.0003756861,0.003916791],"genre_scores_gemma":[0.8969102,0.0002468645,0.100639,0.00006797119,0.0001349683,0.00005373755,0.00001503672,0.0001499165,0.001782348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00127335,"threshold_uncertainty_score":0.006734192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03051765518134373,"score_gpt":0.2705837513209345,"score_spread":0.2400660961395908,"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."}}