{"id":"W4395026380","doi":"10.1088/1361-6595/ad4236","title":"Influence of the RF voltage amplitude on the space- and time-resolved properties of RF–LF dielectric barrier discharges in <i>α</i>–<i>γ</i> mode","year":2024,"lang":"en","type":"article","venue":"Plasma Sources Science and Technology","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Courtois Foundation; Centre National de la Recherche Scientifique; Université de Montréal; Agence Nationale de la Recherche","keywords":"Radio frequency; Amplitude; Dielectric; Mode (computer interface); Voltage; Materials science; Optoelectronics; Space charge; Atomic physics; Nuclear magnetic resonance; Physics; Condensed matter physics; Electrical engineering; Optics; Quantum mechanics; Engineering; Electron; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001712477,0.00009170674,0.0001160613,0.000222127,0.0001069383,0.00003747148,0.0003421964,0.00005901108,8.627093e-7],"category_scores_gemma":[0.0002933195,0.0000511188,0.00001253218,0.001185454,0.00103725,0.00007712183,0.0001169236,0.0001798664,0.000002937398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001388201,"about_ca_system_score_gemma":0.00003833622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002420864,"about_ca_topic_score_gemma":0.00002463371,"domain_scores_codex":[0.9993439,0.000004516256,0.0001357793,0.0001779794,0.0001491114,0.0001887345],"domain_scores_gemma":[0.9995512,0.0001543479,0.00002427199,0.000207802,0.00003927867,0.00002307895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002770868,0.00001559507,0.003361719,0.00005297975,0.000008121669,6.133481e-7,0.0004744059,0.006768543,0.9393838,0.04880341,0.0000547855,0.001073238],"study_design_scores_gemma":[0.00005953147,0.00003969032,0.00112203,0.0001583508,0.000009344478,0.000004895105,0.0001477183,0.1448489,0.8481308,0.004032018,0.001353457,0.0000932996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974018,0.0005481087,0.00002064018,0.001469785,0.00002246837,0.0001762056,0.00001554371,0.00006311559,0.000282379],"genre_scores_gemma":[0.9996444,0.0002195646,0.00003185865,0.00001989803,0.000004542206,0.00004645298,1.37587e-7,0.000006712985,0.00002641607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1380803,"threshold_uncertainty_score":0.3821792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00598155244850465,"score_gpt":0.1895993761784335,"score_spread":0.1836178237299289,"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."}}