{"id":"W2050871502","doi":"10.1002/apj.90","title":"CFD modeling of columns equipped with structured packings: I. Approach based on detailed packing geometry","year":2007,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Chemical Engineering","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computational fluid dynamics; Pressure drop; Structured packing; Turbulence; Fluent; Packed bed; Polygon mesh; Column (typography); Flow (mathematics); Mechanics; Component (thermodynamics); Fluid dynamics; Materials science; Geometry; Mass transfer; Engineering drawing; Mechanical engineering; Engineering; Thermodynamics; Physics; Chemistry; Mathematics; Chromatography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007505526,0.0004065656,0.0008268974,0.0004583437,0.00004843621,0.00002070261,0.0003767804,0.0003117626,0.00001574025],"category_scores_gemma":[0.0005954764,0.0003457364,0.0002587175,0.0006105879,0.00009663738,0.0001534297,0.00005993227,0.001074498,0.000001033546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001834861,"about_ca_system_score_gemma":0.0000552443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001822152,"about_ca_topic_score_gemma":3.194736e-7,"domain_scores_codex":[0.9973952,0.00001416048,0.001025453,0.0002952027,0.00060994,0.0006600477],"domain_scores_gemma":[0.9983826,0.0003533765,0.0003513197,0.0003124792,0.0003650313,0.0002351771],"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":[0.0003347355,0.00008484077,0.0006369059,0.0001593114,0.0002334962,0.00003777885,0.0001744383,0.5828531,0.4143656,0.0008286343,0.00001266965,0.0002783661],"study_design_scores_gemma":[0.001311999,0.0001189419,0.00007238328,0.0003147353,0.00009375127,0.0001123159,0.0003233243,0.8790212,0.1182477,0.00003773068,0.00001213364,0.0003337641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3665318,0.0002166291,0.631749,0.00004138662,0.0001426071,0.00009313379,0.000004818271,0.00006127057,0.001159393],"genre_scores_gemma":[0.9419111,0.000008524275,0.0577624,0.0000177804,0.0001936208,0.000003074056,0.000008187997,0.00007345561,0.00002185027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5753793,"threshold_uncertainty_score":0.9998994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007184582442275904,"score_gpt":0.2015722738362411,"score_spread":0.1943876913939652,"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."}}