{"id":"W2092688015","doi":"10.1103/physreve.70.066405","title":"Modeling of microwave-sustained plasmas at atmospheric pressure with application to discharge contraction","year":2004,"lang":"en","type":"article","venue":"Physical Review E","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Plasma; Microwave; Atomic physics; Atmospheric pressure; Ion; Atmospheric-pressure plasma; Dissociation (chemistry); Materials science; Electric field; Mechanics; Contraction (grammar); Electron; Chemistry; Physics; Meteorology","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":[0.0002519363,0.0004845275,0.000510017,0.0002690173,0.000438897,0.0006861773,0.0009282514,0.001330924,0.0008383372],"category_scores_gemma":[0.00127221,0.0003051941,0.0005781898,0.000398211,0.0007248855,0.0005219474,0.0006469202,0.0006279157,0.0001223336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006290849,"about_ca_system_score_gemma":0.0006625427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008674883,"about_ca_topic_score_gemma":0.001976657,"domain_scores_codex":[0.9999089,0.00002600167,0.000004390863,0.00001421069,0.00002696798,0.00001950186],"domain_scores_gemma":[0.9997579,0.0001251545,0.00003798889,0.00001645667,0.00003611871,0.0000263106],"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":[0.00002628513,0.00001182394,0.0004849211,0.0000266091,0.000006531826,0.0001092921,0.00004404299,0.9914525,0.002732816,0.00363538,0.0001068865,0.001362902],"study_design_scores_gemma":[0.000004411933,0.000006933787,0.0001114247,0.000001741475,0.000001375948,0.0000137159,0.000005678421,0.9988679,0.0002450611,0.0005383374,0.0002012597,0.000002297968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.694648,0.001581681,0.2815115,0.0012109,0.0001231433,0.0001427583,0.0004607275,0.0003890475,0.01993226],"genre_scores_gemma":[0.9817325,0.000629353,0.01369452,0.00005555406,0.00003794949,0.000114488,0.0001271327,0.00005613488,0.003552333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008674883,"threshold_uncertainty_score":0.01724881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006036292169811924,"score_gpt":0.2341798718339736,"score_spread":0.2281435796641617,"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."}}