{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002513447,0.0002997343,0.0003215236,0.0003847409,0.0003094787,0.0003743901,0.0003268409,0.0003916184,0.0005254892],"category_scores_gemma":[0.0007240283,0.000162247,0.0001356974,0.0003486729,0.000342747,0.0006683908,0.0003446376,0.0004752571,0.0001106563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003762541,"about_ca_system_score_gemma":0.0002245285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001664982,"about_ca_topic_score_gemma":0.00197636,"domain_scores_codex":[0.9998311,0.00001872204,0.000007218491,0.0000378918,0.00007334632,0.00003170873],"domain_scores_gemma":[0.9995793,0.0001870457,0.0000779925,0.00002496644,0.00009382013,0.00003689188],"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":[0.0001038672,0.00001733107,0.001407716,0.00004300571,0.000003667763,0.00009680542,0.00005282766,0.0004680693,0.9933037,0.00005645226,0.00003824311,0.004408359],"study_design_scores_gemma":[0.000008766601,0.000265012,0.01033684,0.000004759896,0.0000088132,0.0001638035,0.00007190179,0.008951055,0.9797183,0.00005385853,0.0004007703,0.00001618765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860313,0.0003064796,0.0130165,0.0000345879,0.000009037924,0.00001756061,0.00008705263,0.0001070049,0.0003904484],"genre_scores_gemma":[0.9900116,0.0003588271,0.008773773,0.00003582688,0.000007234045,0.00001781634,0.0001052024,0.00001401216,0.0006756106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001664982,"threshold_uncertainty_score":0.003310621,"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."}}