{"id":"W1985845961","doi":"10.1080/10407790601102274","title":"A General Dynamic Linear Tensor-Diffusivity Subgrid-Scale Heat Flux Model for Large-Eddy Simulation of Turbulent Thermal Flows","year":2007,"lang":"en","type":"article","venue":"Numerical Heat Transfer Part B Fundamentals","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Defence Research and Development Canada","funders":"","keywords":"Thermal diffusivity; Mechanics; Turbulence; Heat flux; Tensor (intrinsic definition); Large eddy simulation; Eddy diffusion; Grashof number; Reynolds stress; Statistical physics; Physics; Heat transfer; Thermodynamics; Reynolds number; Mathematics; Geometry; Nusselt number","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":[0.0005907321,0.0009784913,0.0008813256,0.0004091874,0.0004409655,0.0007753315,0.00167959,0.00132926,0.001410389],"category_scores_gemma":[0.000880644,0.0005079579,0.001246341,0.000505766,0.0005238466,0.00150144,0.0006559288,0.000927955,0.0005791716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008512735,"about_ca_system_score_gemma":0.001349648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004255755,"about_ca_topic_score_gemma":0.002876746,"domain_scores_codex":[0.999708,0.00008028711,0.0000228899,0.00005356524,0.0001093722,0.00002581476],"domain_scores_gemma":[0.9998037,0.00005232646,0.00003115275,0.00003473115,0.00005817143,0.00001993088],"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":[0.00002272403,0.00002443938,0.0003517263,0.00004902734,0.00001737197,0.0000481484,0.00002576537,0.9673989,0.009639756,0.01434437,0.0004793446,0.00759835],"study_design_scores_gemma":[0.000003945696,0.000007448217,0.00004568821,0.000001564424,0.000002220667,0.000009138226,0.000001702726,0.9977265,0.0006412792,0.0008654449,0.0006911563,0.000003954025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01229262,0.0002045085,0.9840081,0.0001044281,0.00005727943,0.00007605273,0.0001704775,0.0004515268,0.002635133],"genre_scores_gemma":[0.573457,0.0008623336,0.4126744,0.0001111336,0.0001006025,0.0007692265,0.000906512,0.0004286689,0.01069012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004255755,"threshold_uncertainty_score":0.008461952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586960047299779,"score_gpt":0.2606868466042647,"score_spread":0.2448172461312669,"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."}}