{"id":"W1964780572","doi":"10.1115/1.3153363","title":"Numerical Simulation of Flow Past Multiple Porous Cylinders","year":2009,"lang":"en","type":"article","venue":"Journal of Fluids Engineering","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ford Motor Company (Canada)","funders":"","keywords":"Laminar flow; Cylinder; Reynolds number; Mechanics; Porosity; Materials science; Flow (mathematics); Porous medium; Particle (ecology); Geometry; Turbulence; Physics; Composite material; Mathematics; Geology","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":[0.0003381246,0.000307206,0.0006520281,0.0005288013,0.0006002666,0.00069139,0.0006673186,0.001008826,0.001316561],"category_scores_gemma":[0.001074623,0.0002717921,0.000423111,0.0006020347,0.0007522384,0.0005243516,0.0005622767,0.0003663288,0.0001403564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006804438,"about_ca_system_score_gemma":0.001036417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008964291,"about_ca_topic_score_gemma":0.00356133,"domain_scores_codex":[0.9998242,0.0000271343,0.00001121232,0.00002956123,0.00005760675,0.00005032583],"domain_scores_gemma":[0.9994146,0.0002925125,0.00008629042,0.00003919552,0.0001031794,0.00006433508],"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":[0.00006396874,0.00004069502,0.001030235,0.00003382983,0.000008819871,0.0001122114,0.00006647276,0.9873877,0.006378094,0.001925953,0.00007546026,0.002876535],"study_design_scores_gemma":[0.00001095717,0.00002529671,0.0001683161,0.000002619096,0.000002060127,0.00001379069,0.00001479835,0.9984144,0.0009854488,0.0002042275,0.0001540491,0.000004012233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9118509,0.000211931,0.07774565,0.0001532317,0.00005062326,0.00007392799,0.0001924621,0.0002579671,0.009463225],"genre_scores_gemma":[0.9712085,0.0001069606,0.02628126,0.00001988466,0.000008430607,0.00007534117,0.0001036676,0.00001501244,0.002181034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008964291,"threshold_uncertainty_score":0.01782423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007646260401101128,"score_gpt":0.2089979392278329,"score_spread":0.2013516788267318,"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."}}