{"id":"W2921044197","doi":"10.1088/1361-6463/ab0fd4","title":"Time and space-resolved experimental investigation of the electron energy distribution function of a helium capacitive discharge at atmospheric pressure","year":2019,"lang":"en","type":"article","venue":"Journal of Physics D Applied Physics","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Helium; Atmospheric pressure; Atomic physics; Electron; Space (punctuation); Energy (signal processing); Physics; Capacitive sensing; Computational physics; Materials science; Nuclear physics; Meteorology; Quantum mechanics; Electrical engineering; Engineering","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":[0.00007383955,0.0001388248,0.0003366948,0.000006133519,0.00005244685,0.00000650769,0.00007066096,0.00006242196,0.00001051743],"category_scores_gemma":[0.000008314924,0.0001026697,0.0001167353,0.0002325554,0.0001513987,0.00009298453,0.0000484666,0.0001541637,0.000003594814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007886977,"about_ca_system_score_gemma":0.00009340972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008335801,"about_ca_topic_score_gemma":4.314828e-7,"domain_scores_codex":[0.9990894,0.00002528574,0.0003108093,0.0001244562,0.0003252745,0.0001247528],"domain_scores_gemma":[0.9987531,0.00008767057,0.0007042768,0.0001843526,0.0002025991,0.00006799917],"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":[0.0003121648,0.0002380249,0.0009482377,0.00005678915,0.0001390595,1.072332e-7,0.0002885552,0.001138814,0.9746764,0.02141688,0.0004256999,0.0003592513],"study_design_scores_gemma":[0.001222698,0.0003740306,0.005039188,0.00008953193,0.0003164149,0.00000510631,0.0001131415,0.003354653,0.9862397,0.002780758,0.0003710318,0.00009373116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957656,0.0001657521,0.003319271,0.00005908866,0.00005888139,0.0002665572,0.00007052254,0.000005148567,0.0002892013],"genre_scores_gemma":[0.9992815,0.00002426582,0.0002196854,0.00003879932,0.000209045,0.00001021298,0.00007868269,0.00001658439,0.0001211891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01863613,"threshold_uncertainty_score":0.4186748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005300359514371251,"score_gpt":0.1998461824418731,"score_spread":0.1945458229275019,"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."}}