{"id":"W2143578993","doi":"10.1504/pcfd.2010.034449","title":"Recent progress in dynamic tensor diffusivity subgrid-scale modelling for LES of turbulent heat transfer","year":2010,"lang":"en","type":"article","venue":"Progress in Computational Fluid Dynamics An International Journal","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Defence Research and Development Canada; University of Manitoba","funders":"","keywords":"Thermal diffusivity; Turbulence; Heat transfer; Large eddy simulation; Convection; Tensor (intrinsic definition); Mechanics; Heat flux; Scale (ratio); Statistical physics; Thermal; Computational fluid dynamics; Physics; Thermodynamics; Mathematics; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005694592,0.0003155375,0.0003690099,0.0006302179,0.00008559864,0.0001775985,0.0006408432,0.0001915899,0.00003333115],"category_scores_gemma":[0.00001447102,0.0003244559,0.0001712246,0.0002226613,0.0001580377,0.0003979008,0.00004484493,0.0007326074,0.000001292453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004111976,"about_ca_system_score_gemma":0.0001008311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001026862,"about_ca_topic_score_gemma":0.0005174777,"domain_scores_codex":[0.9974931,0.00004819667,0.0009818287,0.0003476245,0.0007126991,0.0004165495],"domain_scores_gemma":[0.9987893,0.0001364132,0.0000559113,0.0001665147,0.0007005739,0.0001513107],"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":[0.0001588197,0.0005296196,0.06040614,0.00004972437,0.00007490273,0.00003046763,0.0002275416,0.8871372,0.00007997391,0.006350679,0.000004885264,0.0449501],"study_design_scores_gemma":[0.001674871,0.0000901962,0.03130852,0.0001222178,0.0000130446,0.0001388235,0.00002190926,0.961824,0.00002577089,0.004356712,0.0001123932,0.0003115298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8482912,0.0007334212,0.1481772,0.0007152594,0.001406264,0.0004037866,0.0001961948,0.00005134087,0.00002540516],"genre_scores_gemma":[0.9680709,0.0005884294,0.03057027,0.00002346416,0.0001771317,0.00009036674,0.0004050612,0.00006913339,0.000005270118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1197797,"threshold_uncertainty_score":0.9999207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176291233402899,"score_gpt":0.2659127438523942,"score_spread":0.2541498315183652,"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."}}