{"id":"W1987367107","doi":"10.4028/www.scientific.net/ddf.297-301.739","title":"Modeling of Turbulent Flow and Heat Transfer in Graphitic Foams","year":2010,"lang":"en","type":"article","venue":"Defect and diffusion forum/Diffusion and defect data, solid state data. Part A, Defect and diffusion forum","topic":"Heat and Mass Transfer in Porous Media","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Turbulence; Heat transfer; Mechanics; Materials science; Reynolds number; Momentum transfer; Large eddy simulation; Flow (mathematics); Void (composites); Thermodynamics; Physics; Composite material","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":[0.001200965,0.001138565,0.001503004,0.0008302756,0.0006644638,0.0002997869,0.0007149599,0.0006141932,0.00009259052],"category_scores_gemma":[0.0001508808,0.0009745377,0.0002826152,0.0005391804,0.0004829353,0.001089589,0.001433527,0.001122311,0.00001093493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002473241,"about_ca_system_score_gemma":0.0000641638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00065885,"about_ca_topic_score_gemma":0.006502345,"domain_scores_codex":[0.9943468,0.000192489,0.001412882,0.001757313,0.0007460028,0.001544526],"domain_scores_gemma":[0.9964327,0.0004496853,0.0000550616,0.00193348,0.00009184999,0.001037215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004544324,0.005118681,0.2192563,0.008652572,0.001455595,0.0007973705,0.01346791,0.001791626,0.4301021,0.003332627,0.02607248,0.2854085],"study_design_scores_gemma":[0.01241185,0.0009124429,0.0060107,0.0009581315,0.0007323374,0.0005077306,0.001791402,0.9394911,0.001675916,0.002517169,0.03034619,0.002645037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840127,0.006187467,0.003739594,0.0002332017,0.001039765,0.00122794,0.002904358,0.0003110827,0.0003438657],"genre_scores_gemma":[0.9671868,0.02749041,0.0002860982,0.0003005443,0.0001248725,0.00006100975,0.004363118,0.00015394,0.00003319565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9376994,"threshold_uncertainty_score":0.9992705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0174821849182679,"score_gpt":0.2483574845493921,"score_spread":0.2308752996311242,"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."}}