{"id":"W2057224850","doi":"10.1002/cjce.5450820606","title":"Modelling of Inclusion Re‐entrainment During Filtration","year":2004,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Centre québécois de recherche et de développement de l’aluminium","keywords":"Entrainment (biomusicology); Mechanics; Filtration (mathematics); Filter (signal processing); Flow (mathematics); Experimental data; Deposition (geology); Conservation of mass; Environmental science; Mathematics; Computer science; Physics; Geology; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001528718,0.0000817629,0.0001135068,0.00008136148,0.0000671253,0.00001748275,0.0001301557,0.00004768076,0.00001433808],"category_scores_gemma":[0.0000407499,0.00007066379,0.00004987904,0.0001217266,0.00001927219,0.0001219078,0.000007931975,0.0002016464,9.008065e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003167816,"about_ca_system_score_gemma":0.0001150829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001408647,"about_ca_topic_score_gemma":0.00005965105,"domain_scores_codex":[0.9993142,0.00000450047,0.0003103501,0.00003919225,0.0001616302,0.0001701138],"domain_scores_gemma":[0.9996395,0.00002446633,0.00005787359,0.00007362026,0.00005513633,0.0001493647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002411724,0.000001470903,0.000001863817,0.00001961552,0.00001122842,0.000002227755,0.001312051,0.6908201,0.3074457,0.0003281929,0.000009066301,0.00004602987],"study_design_scores_gemma":[0.0003532313,0.00001952513,0.00002241671,0.0001183135,0.00001525751,0.00003865367,0.00002800792,0.2536893,0.7447572,0.0008307154,0.00003153694,0.00009582385],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9059349,0.0002089105,0.09327943,0.0002540412,0.000140008,0.0000521505,0.000002376491,0.00001649756,0.0001116441],"genre_scores_gemma":[0.9974447,0.000008584178,0.002429228,0.00001649617,0.00008013329,0.000001228731,0.00000270055,0.00001536388,0.000001552282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4373114,"threshold_uncertainty_score":0.2881585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009434323977224822,"score_gpt":0.1771134803859969,"score_spread":0.1676791564087721,"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."}}