{"id":"W2476129288","doi":"10.1016/j.anucene.2016.07.003","title":"CFD modelling of turbulent flows through 5 × 5 fuel rod bundles with spacer-grids","year":2016,"lang":"en","type":"article","venue":"Annals of Nuclear Energy","topic":"Heat transfer and supercritical fluids","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Nuclear Laboratories","funders":"","keywords":"Turbulence; Computational fluid dynamics; Mechanics; Turbulence kinetic energy; Bundle; Grid; Benchmark (surveying); Reynolds stress; Discretization; Reynolds number; K-epsilon turbulence model; Materials science; Physics; Geometry; Geology; Mathematics","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":[0.0002709006,0.0005153153,0.0005754111,0.0004811819,0.000636425,0.00108596,0.0007351464,0.001150243,0.003118687],"category_scores_gemma":[0.0006868175,0.0003789214,0.0006644974,0.0005462278,0.0007108082,0.0004859945,0.0004725472,0.0004542841,0.0003475727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092169,"about_ca_system_score_gemma":0.001140203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01603201,"about_ca_topic_score_gemma":0.00786548,"domain_scores_codex":[0.9998387,0.00003449226,0.00001226507,0.00002949638,0.00003691691,0.00004799263],"domain_scores_gemma":[0.99962,0.0001677148,0.00006964123,0.00003068368,0.000061516,0.00005048098],"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":[0.00006111804,0.00003726119,0.001193719,0.00001729709,0.000006977813,0.00008204129,0.00003103133,0.9928949,0.002806509,0.001219842,0.0001195403,0.001529695],"study_design_scores_gemma":[0.0000100159,0.00003440397,0.0006346721,0.000005971322,0.000003004282,0.00001065834,0.00001894652,0.9976809,0.001207953,0.0001354037,0.0002510354,0.000006942158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9418605,0.0002619212,0.03783648,0.0001858348,0.00009763116,0.0000515964,0.0004537273,0.00034317,0.018909],"genre_scores_gemma":[0.9912691,0.00007287672,0.005394676,0.00001019501,0.000005844074,0.00001582611,0.0001389275,0.00002779434,0.003064789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01603201,"threshold_uncertainty_score":0.0318774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04495177347211849,"score_gpt":0.2330608752545006,"score_spread":0.1881091017823822,"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."}}