{"id":"W2076559272","doi":"10.1021/ie030347l","title":"Geometry-Based Model for Predicting Mass Transfer in Packed Columns","year":2003,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Process Optimization and Integration","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Packed bed; Mass transfer; Structured packing; Pressure drop; Mechanics; Materials science; Distillation; Penetration (warfare); Geometry; Flow (mathematics); Chemistry; Chromatography; Mathematics; Physics","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":[0.0008403176,0.0001727051,0.0001908108,0.0001955517,0.00005961003,0.00008278658,0.0001834489,0.0003615016,0.00007376061],"category_scores_gemma":[0.001094037,0.0002043363,0.00005753672,0.0007928452,0.00002552535,0.0001278398,0.000005755153,0.0008035392,0.00000252756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002969913,"about_ca_system_score_gemma":0.0001866215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004916325,"about_ca_topic_score_gemma":0.000003565925,"domain_scores_codex":[0.9985358,0.0000180098,0.0003207614,0.0002367364,0.0003362667,0.0005524475],"domain_scores_gemma":[0.9993221,0.0001919784,0.00000911367,0.0001849573,0.0001568327,0.000135],"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":[0.00001644489,0.00001677263,0.0001217208,0.000125967,0.000009963943,0.000001072769,0.00004207807,0.7846363,0.2145286,0.00009087615,0.0002795454,0.000130661],"study_design_scores_gemma":[0.0009369809,0.0000106954,0.000001591797,0.00005882124,0.0000026684,5.279378e-7,0.00002938884,0.6468855,0.3509818,0.0000177639,0.0009497202,0.0001245887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4000914,0.0001508882,0.5944977,0.0001044949,0.000300883,0.001048514,0.0001141093,0.0006171343,0.003074808],"genre_scores_gemma":[0.9981977,0.0000110426,0.0008581895,0.000004238059,0.0001374748,0.0002849617,0.00005871896,0.00006250438,0.0003852176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5981062,"threshold_uncertainty_score":0.8332593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09256964061731891,"score_gpt":0.307564604366924,"score_spread":0.214994963749605,"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."}}