{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001122496,0.00007863184,0.0001586962,0.00003940603,0.00002509677,0.000006120058,0.00008821827,0.00002916774,0.000049083],"category_scores_gemma":[0.00006396862,0.00006514454,0.000074198,0.0001163172,0.00001425957,0.0001500569,0.00001467082,0.000101283,0.000006268719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005256616,"about_ca_system_score_gemma":0.000003036172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003096392,"about_ca_topic_score_gemma":1.960051e-7,"domain_scores_codex":[0.9993141,0.000006252275,0.0002696797,0.00005910364,0.0002263811,0.0001245234],"domain_scores_gemma":[0.9997492,0.00005120026,0.00007310469,0.00005735801,0.0000131024,0.00005600039],"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":[0.00001082755,0.00003535537,0.005300063,0.000003979956,0.000008621576,0.000007794618,0.0002178218,0.9575711,0.02717646,0.000001489973,0.0001901542,0.009476267],"study_design_scores_gemma":[0.0005486584,0.0002817216,0.1576445,0.00004892089,0.00001791983,0.00002497889,0.00005869477,0.8353521,0.00466761,0.00002113615,0.001196392,0.000137344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8659645,0.0001566535,0.1329605,0.0002201981,0.0002216288,0.00004478232,9.407791e-7,0.00001637833,0.0004144383],"genre_scores_gemma":[0.9930729,0.00001001077,0.006711189,0.00003083867,0.0001551803,1.472615e-7,2.209096e-7,0.000005513721,0.00001405401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1523445,"threshold_uncertainty_score":0.2656517,"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."}}