{"id":"W2070803818","doi":"10.1108/03321640910918931","title":"Stationary multi‐species models of the electric corona discharge in oxygen","year":2009,"lang":"en","type":"article","venue":"COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Ionic bonding; Electric field; Corona discharge; Discretization; Corona (planetary geology); Ion; Current density; Charge density; Ionization; Computational physics; Electron density; Chemistry; Atomic physics; Mechanics; Electron; Analytical Chemistry (journal); Physics; Mathematical analysis; Mathematics; Electrode; Physical chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002470792,0.0003336479,0.0004163946,0.0003516578,0.0003949009,0.0005780926,0.001002599,0.001052879,0.00125566],"category_scores_gemma":[0.0007744185,0.0002524795,0.0006959199,0.0002970024,0.0005877101,0.0006850074,0.0005421713,0.0004390673,0.0001745776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006971768,"about_ca_system_score_gemma":0.0006689079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008331905,"about_ca_topic_score_gemma":0.003184879,"domain_scores_codex":[0.9999202,0.00001735744,0.000004576053,0.00001490855,0.00002713603,0.00001577732],"domain_scores_gemma":[0.9998112,0.00007547459,0.00002868853,0.00001582733,0.0000494697,0.0000192594],"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":[0.00002553532,0.000025818,0.0006955218,0.00002867866,0.00001077591,0.0001060171,0.00004916619,0.9796311,0.004242935,0.01201224,0.0002390175,0.002933254],"study_design_scores_gemma":[0.000004677837,0.000006119382,0.00006638553,0.000001287991,0.000001332348,0.000008874224,0.000005387414,0.9987115,0.0002476457,0.0007109465,0.0002341864,0.000001821004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3395368,0.0009519812,0.6356522,0.0006566275,0.0001669818,0.000148653,0.0002646435,0.0002960911,0.02232606],"genre_scores_gemma":[0.9601264,0.0004127433,0.02936521,0.0001145601,0.00005717669,0.0001441573,0.00015733,0.00006900285,0.009553461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008331905,"threshold_uncertainty_score":0.01656681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01646809540682814,"score_gpt":0.2475796186260049,"score_spread":0.2311115232191767,"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."}}