{"id":"W2603361289","doi":"","title":"Structural organization of large and very-large scales in turbulent pipe flow simulation","year":2012,"lang":"en","type":"article","venue":"Bulletin of the American Physical Society","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Turbulence; Physics; Reynolds number; Mechanics; Direct numerical simulation; Turbulence kinetic energy; Flow (mathematics); Kinetic energy; Logarithm; Reynolds stress; Length scale; Scale (ratio); Classical mechanics; Mean flow; Wavelength; Optics; Mathematics; Mathematical analysis","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":[0.0002316517,0.0002320574,0.0003249169,0.0003657786,0.0004198196,0.0006675788,0.0005299932,0.0007170506,0.0008425328],"category_scores_gemma":[0.0008968196,0.0003218241,0.000332891,0.0003160832,0.0009436439,0.0004936624,0.0005720308,0.0004413966,0.00007674343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005818523,"about_ca_system_score_gemma":0.000714288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005326013,"about_ca_topic_score_gemma":0.003029314,"domain_scores_codex":[0.9998968,0.00002544787,0.000006883985,0.00001441252,0.00003034748,0.00002599771],"domain_scores_gemma":[0.9997781,0.00007310793,0.00004826166,0.00002697721,0.00002868545,0.0000448955],"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":[0.00005307768,0.00005771861,0.005024101,0.00002272926,0.00001657109,0.0001134307,0.00008846985,0.9819009,0.006874464,0.003819908,0.0001429093,0.001885673],"study_design_scores_gemma":[0.000006370766,0.00001152333,0.001525783,0.000002251382,0.000002246186,0.000008753917,0.00001249952,0.9974419,0.0003827344,0.0005076816,0.0000929991,0.000005273538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571909,0.0001294469,0.03867689,0.0001563284,0.00002117447,0.00004383969,0.0001470742,0.0001887431,0.003445464],"genre_scores_gemma":[0.9924635,0.00004443873,0.006906878,0.00002060123,0.000004488927,0.00003341608,0.00006990487,0.00002984818,0.0004269539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005326013,"threshold_uncertainty_score":0.01059002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003734645260140473,"score_gpt":0.2077580951229315,"score_spread":0.204023449862791,"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."}}