{"id":"W2085176141","doi":"10.1021/ie800810t","title":"Monitoring Filtration in Trickle Beds Using Electrical Capacitance Tomography","year":2008,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Resources Canada; Canadian Natural Resources Limited","keywords":"Electrical capacitance tomography; TRICKLE; Superficial velocity; Deposition (geology); Filtration (mathematics); Trickle-bed reactor; Suspension (topology); Porosity; Materials science; Capacitance; Flow (mathematics); Tube (container); Residence time distribution; Two-phase flow; Mechanics; Chemistry; Composite material; Geology; Electrode","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004759858,0.0002648623,0.0003022827,0.0004927646,0.0001334252,0.00004898461,0.0003320956,0.0004377929,0.00002156062],"category_scores_gemma":[0.0002487001,0.0002912428,0.0001204993,0.004524101,0.00008025518,0.0001945348,0.00002380183,0.00192353,0.000005895121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003740878,"about_ca_system_score_gemma":0.00009486244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005893602,"about_ca_topic_score_gemma":7.172058e-7,"domain_scores_codex":[0.9974809,0.00003745232,0.0004142052,0.0003484783,0.0006907142,0.001028211],"domain_scores_gemma":[0.9991586,0.000227508,0.00002319016,0.0002655734,0.0001029098,0.0002222193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000248204,0.00004955467,0.01444472,0.0000473955,0.00002681317,0.00008090887,0.00006018898,0.0202632,0.9626603,0.000004859603,0.0002366848,0.002100626],"study_design_scores_gemma":[0.0007183808,0.00004111322,0.001804589,0.0001275275,0.00000542394,0.00005783325,0.00001640194,0.04892857,0.9472624,0.00001859445,0.0006483161,0.0003708531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971941,0.001179076,0.0001087759,0.00001685505,0.0002240901,0.0002144133,0.000005813759,0.0003215026,0.0007354018],"genre_scores_gemma":[0.9981548,0.0003411466,0.0001783566,0.000001091766,0.001157374,0.00005426837,0.000005766291,0.00005077022,0.00005639444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02866537,"threshold_uncertainty_score":0.999954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1147730446750685,"score_gpt":0.303971041745789,"score_spread":0.1891979970707205,"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."}}