{"id":"W2318167851","doi":"10.1103/physreve.85.026318","title":"Effects of microstructure on flow properties of fibrous porous media at moderate Reynolds number","year":2012,"lang":"en","type":"article","venue":"Physical Review E","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reynolds number; Materials science; Porous medium; Microstructure; Porosity; Permeability (electromagnetism); Mechanics; Transverse plane; Fiber; Composite material; Physics; Turbulence; Chemistry; Structural engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003372105,0.0002092592,0.0002667059,0.0002690689,0.0002812696,0.0004205668,0.0001581868,0.00023427,0.0002466953],"category_scores_gemma":[0.001327331,0.0001352245,0.0002024931,0.0001754506,0.0004378175,0.0003789353,0.0001777621,0.000208037,0.00005206297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002731716,"about_ca_system_score_gemma":0.000257564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001042175,"about_ca_topic_score_gemma":0.0009483697,"domain_scores_codex":[0.9998602,0.00002663293,0.000008139326,0.00002363662,0.00004290443,0.00003849455],"domain_scores_gemma":[0.9994629,0.000266736,0.0001408281,0.00002920134,0.0000654787,0.00003484336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003733879,0.00008412607,0.006168026,0.0001420923,0.00002178547,0.0005126412,0.0002136858,0.04438834,0.9387164,0.00221162,0.00008247045,0.007085312],"study_design_scores_gemma":[0.00006251773,0.0008504993,0.04809372,0.00003432622,0.00004961943,0.0004987755,0.0001974061,0.2353921,0.7123631,0.00150906,0.0008775782,0.00007133663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939406,0.0003272996,0.004787922,0.00003115682,0.000007914547,0.000009042989,0.00002567543,0.00002976602,0.0008405477],"genre_scores_gemma":[0.9989323,0.00012479,0.0008365795,0.000005725975,0.000002150524,0.000003485651,0.0000129061,0.000004028519,0.00007797146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001042175,"threshold_uncertainty_score":0.002072215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558920403866115,"score_gpt":0.2563481331072427,"score_spread":0.2407589290685816,"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."}}