{"id":"W2135255772","doi":"10.1115/fedsm2005-77080","title":"SPH Simulations for Turbulence Control of Magnetohydrodynamic Poiseuille Flow","year":2005,"lang":"en","type":"article","venue":"","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Hagen–Poiseuille equation; Turbulence; Physics; Mechanics; Magnetohydrodynamic drive; Reynolds number; Magnetohydrodynamic turbulence; Magnetohydrodynamics; Flow (mathematics); Magnetic field; K-epsilon turbulence model; Classical mechanics","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":[0.000306458,0.0004144698,0.000632083,0.0003068319,0.0004895931,0.000685971,0.0007707018,0.0007541152,0.001315621],"category_scores_gemma":[0.001296056,0.0002111233,0.0003284537,0.0003797944,0.0006103966,0.0003547966,0.0005612107,0.0005944216,0.0001488112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005839783,"about_ca_system_score_gemma":0.0006873341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007134495,"about_ca_topic_score_gemma":0.003065627,"domain_scores_codex":[0.9998704,0.00003512724,0.00000674286,0.00001205114,0.00004854823,0.00002702528],"domain_scores_gemma":[0.9995148,0.0002357919,0.00004987272,0.00003821413,0.00008329725,0.0000779106],"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":[0.0002210206,0.00005687977,0.00175989,0.00005193968,0.00002979512,0.0001746115,0.0001050554,0.9785354,0.007719714,0.006029075,0.0008276435,0.004489025],"study_design_scores_gemma":[0.0000231724,0.00001187307,0.0001823001,0.000001618963,0.000001523432,0.000005566528,0.000005933053,0.9983016,0.0009491644,0.000301559,0.0002121429,0.000003335296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7890415,0.000277904,0.189636,0.0006265845,0.0001938493,0.000169921,0.0007017159,0.00115571,0.01819687],"genre_scores_gemma":[0.9745376,0.00006774969,0.0230331,0.00003456236,0.00002478834,0.0001036778,0.0002546944,0.00006644741,0.00187749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007134495,"threshold_uncertainty_score":0.01418597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004562034262915908,"score_gpt":0.2144095742485836,"score_spread":0.2098475399856677,"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."}}