{"id":"W2080838836","doi":"10.1088/0022-3727/38/4/005","title":"Diagnostics and modelling of noble gas atmospheric pressure dielectric barrier discharges in homogeneous or diverging electric fields","year":2005,"lang":"en","type":"article","venue":"Journal of Physics D Applied Physics","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Polytechnique Montréal","funders":"","keywords":"Homogeneous; Noble gas; Dielectric; Atmospheric pressure; Electric field; Materials science; Dielectric barrier discharge; Mechanics; Computational physics; Environmental science; Physics; Atomic physics; Thermodynamics; Meteorology; Optoelectronics","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":[0.0001976741,0.0003531198,0.0003220255,0.000248568,0.0001470848,0.0005711091,0.0005099482,0.0007575917,0.0006152704],"category_scores_gemma":[0.001141925,0.0002072124,0.0002999356,0.0002727768,0.0004599956,0.0003741195,0.0001995589,0.0003125556,0.0001148442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004583009,"about_ca_system_score_gemma":0.0003537457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002753835,"about_ca_topic_score_gemma":0.0008873842,"domain_scores_codex":[0.9999068,0.00001776281,0.000004059009,0.0000150355,0.00003694433,0.00001940164],"domain_scores_gemma":[0.9995825,0.0002912066,0.00005095633,0.00002054509,0.00003745132,0.00001741824],"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":[0.0003055808,0.00004915236,0.003815358,0.0001520672,0.00001713028,0.0003954982,0.0001376913,0.9192615,0.06653395,0.003170173,0.0002461103,0.005915716],"study_design_scores_gemma":[0.00002014689,0.00007028,0.001102482,0.000005042191,0.000004792046,0.00008632172,0.00001483404,0.979906,0.01797398,0.0005419193,0.0002668008,0.0000073417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9424025,0.000584234,0.0516808,0.0001768633,0.00001601301,0.00004248745,0.0003021653,0.0003392107,0.004455682],"genre_scores_gemma":[0.9952143,0.0002330701,0.003677001,0.00001020335,0.000004703321,0.00001517699,0.00008274522,0.00001681361,0.0007458346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002753835,"threshold_uncertainty_score":0.00547564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466594206696238,"score_gpt":0.2339881478352462,"score_spread":0.2193222057682838,"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."}}