{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002644289,0.0003821436,0.0004843765,0.0002593676,0.0003075381,0.0005006138,0.0005499452,0.0005956113,0.0002996795],"category_scores_gemma":[0.0004040003,0.0001988412,0.0004558514,0.0001363762,0.0003896982,0.0003950265,0.0003068191,0.0002921846,0.0000677643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007724477,"about_ca_system_score_gemma":0.0006234382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008749705,"about_ca_topic_score_gemma":0.00308988,"domain_scores_codex":[0.9998684,0.00001800639,0.000008069608,0.00002790284,0.00004567792,0.00003193175],"domain_scores_gemma":[0.9997906,0.00008980895,0.00004941954,0.00001824505,0.00003638732,0.00001549882],"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":[0.0001514545,0.000112763,0.00328037,0.0001085728,0.00002790469,0.0003337531,0.00008978748,0.7377573,0.2516832,0.00124775,0.00007122289,0.00513582],"study_design_scores_gemma":[0.00001487352,0.0001168194,0.001208324,0.000002693564,0.000009565282,0.00005200293,0.00001283541,0.9427596,0.0554634,0.0001542916,0.0001968929,0.000008656838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9546157,0.0001560311,0.04418203,0.00004141648,0.00001437301,0.00004251067,0.00006505394,0.00009677528,0.0007861449],"genre_scores_gemma":[0.9969591,0.0000730754,0.002407155,0.000004031789,0.00000160984,0.00001352713,0.00002683363,0.00000445331,0.0005102236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008749705,"threshold_uncertainty_score":0.01739752,"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."}}