{"id":"W2760110811","doi":"10.1103/physreve.96.033112","title":"Orthotropic hydraulic permeability of arrays of parallel cylinders","year":2017,"lang":"en","type":"article","venue":"Physical review. E","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Institutes of Health Research; Alberta Innovates - Health Solutions; Alberta Innovates - Technology Futures","keywords":"Perpendicular; Orthotropic material; Drag; Mechanics; Permeability (electromagnetism); Geometry; Porosity; Reynolds number; Distribution (mathematics); Volume fraction; Cylinder; Physics; Materials science; Mathematics; Mathematical analysis; Composite material; Turbulence; Finite element method; Chemistry; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009723641,0.000119562,0.0005089469,0.00001293377,0.0000556042,0.000006258945,0.000226989,0.00001925415,0.00001939686],"category_scores_gemma":[0.000279722,0.00009885276,0.0001824384,0.00004544542,0.0001462654,0.0001194706,0.00005997187,0.00009065085,0.00003065907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000165582,"about_ca_system_score_gemma":0.000007900071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001021883,"about_ca_topic_score_gemma":0.000003402596,"domain_scores_codex":[0.9992399,0.00002283241,0.0002923945,0.0001278376,0.0001873629,0.0001296891],"domain_scores_gemma":[0.9989973,0.00008968724,0.0001424168,0.0006500691,0.00007860682,0.00004192137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001396907,0.002594979,0.2497729,0.09875911,0.003060423,0.00001792815,0.007221951,0.2502222,0.0606419,0.07805878,0.00903559,0.2404746],"study_design_scores_gemma":[0.001616373,0.0001740982,0.8463607,0.00297327,0.0006594097,0.000001663089,0.00008074947,0.09754238,0.008748208,0.0260745,0.01481671,0.0009519426],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725574,0.005786635,0.002462116,0.0003351471,0.0001151805,0.0004016629,0.00001009516,0.00007959214,0.01825213],"genre_scores_gemma":[0.9970594,0.002533362,0.000281048,0.0000316373,0.00005616748,0.00001058907,0.000001823914,0.00001431111,0.00001166087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5965878,"threshold_uncertainty_score":0.4031099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03563083087491185,"score_gpt":0.3346730032893097,"score_spread":0.2990421724143978,"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."}}