{"id":"W1973547461","doi":"10.1002/cjce.5450830510","title":"Numerical Study of the Effect of Particle Size on the Coating Efficiency and Uniformity of an Electrostatic Powder Coating Process","year":2008,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Coating; Turbulence; Particle (ecology); Particle size; Materials science; Powder coating; Physics; Computer simulation; Mechanics; Composite material; Chemistry; Physical chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005518624,0.000241582,0.000406874,0.0003209564,0.0003159552,0.0004265068,0.0003412503,0.0004987298,0.0005403903],"category_scores_gemma":[0.001663586,0.0001480379,0.0003577169,0.0002799317,0.0003445955,0.0003060822,0.0002136611,0.000225911,0.00006075844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004682317,"about_ca_system_score_gemma":0.0003465852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003266999,"about_ca_topic_score_gemma":0.001594624,"domain_scores_codex":[0.9997912,0.00003948449,0.0000151985,0.00003059374,0.00008995018,0.00003344355],"domain_scores_gemma":[0.9988096,0.0007373423,0.000130145,0.00009274339,0.0001992933,0.00003087841],"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":[0.0004976748,0.0001738361,0.006867173,0.0002083651,0.00005028974,0.0002586048,0.0001754546,0.8159183,0.1515475,0.002168231,0.0002918119,0.02184277],"study_design_scores_gemma":[0.00001504309,0.0001503019,0.001331673,0.00000325324,0.00001007072,0.00002773581,0.00001687278,0.9727357,0.02540774,0.0000849417,0.0002087961,0.00000793127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591615,0.0002931724,0.03704839,0.0001011445,0.00003403129,0.00003573601,0.0000640826,0.0001433606,0.003118492],"genre_scores_gemma":[0.9878436,0.00007881335,0.01156114,0.000006795207,0.000003034817,0.00001255782,0.0000269655,0.00001187419,0.0004552534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003266999,"threshold_uncertainty_score":0.006495953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006349673174335452,"score_gpt":0.2029534242038777,"score_spread":0.1966037510295422,"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."}}