{"id":"W2131570368","doi":"10.1109/ccece.2007.395","title":"The Implementation of Poisson Field Analysis Within FLUENT to Model Electrostatic Liquid Spraying","year":2007,"lang":"en","type":"article","venue":"","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Nozzle; Electrostatics; Mechanics; Fluent; Space charge; Poisson's equation; Electric field; Airflow; Physics; Computational fluid dynamics; Thermodynamics; Nuclear physics","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005124746,0.00008898444,0.0001133134,0.0001268484,0.00008279124,0.00002837236,0.00008319096,0.00002870231,0.00004452332],"category_scores_gemma":[0.0000387315,0.00007101358,0.00005516704,0.000568822,0.000006931356,0.00009237121,0.000008001211,0.0000695275,0.000005239015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006347065,"about_ca_system_score_gemma":0.00002007281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001017934,"about_ca_topic_score_gemma":0.002423051,"domain_scores_codex":[0.9990712,0.00001395553,0.0003976985,0.00009607991,0.0001877555,0.0002333516],"domain_scores_gemma":[0.9995195,0.0001644898,0.00005189228,0.0001417335,0.00006355519,0.00005878901],"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":[0.0001549839,0.00001758224,0.0005981051,0.00002660466,0.0004546122,5.633668e-7,0.009392938,0.5343693,0.4267783,0.01305178,0.001991414,0.0131639],"study_design_scores_gemma":[0.0001617553,0.0002388123,0.001167359,0.000003404062,0.0001107654,4.365037e-7,0.001902278,0.3082823,0.6876327,0.0003168326,0.00005590063,0.0001274605],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4445617,0.00001425136,0.554126,0.0002990426,0.00003526597,0.0001243325,0.000001603098,0.00005257946,0.0007851652],"genre_scores_gemma":[0.9900271,0.00001629446,0.009401086,0.0004136736,0.00001232507,0.00001330862,0.00001626195,0.0000109763,0.00008891728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5454655,"threshold_uncertainty_score":0.289585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00700184464718667,"score_gpt":0.280795585691928,"score_spread":0.2737937410447413,"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."}}