{"id":"W156976079","doi":"10.1023/a:1007065022725","title":"Numerical Modeling of a He–N2 Capillary Surface Wave Discharge at Atmospheric Pressure","year":2000,"lang":"en","type":"article","venue":"Plasma Chemistry and Plasma Processing","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Institut National de la Recherche Scientifique","funders":"Division of Chemistry","keywords":"Nitrogen; Boltzmann equation; Atomic physics; Helium; Plasma; Chemistry; Electron density; Thermodynamics; Electron; Analytical Chemistry (journal); Physics; Environmental chemistry; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001020721,0.0002857201,0.0004552001,0.000005326434,0.0002442053,0.00003820625,0.00009588549,0.0002429382,0.0007091641],"category_scores_gemma":[0.00008838835,0.0002622548,0.00007543933,0.0002445557,0.0001171379,0.0001281826,0.00004985687,0.0002879982,0.00002245898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000035252,"about_ca_system_score_gemma":0.0001333342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002036228,"about_ca_topic_score_gemma":0.0000011132,"domain_scores_codex":[0.9984296,0.00001323871,0.0004271095,0.0004712265,0.0002925922,0.0003662173],"domain_scores_gemma":[0.9990609,0.0001513616,0.0001299048,0.0002724026,0.0001077544,0.0002777296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005070989,0.002841795,0.03443358,0.0219952,0.0009778591,0.000358977,0.004078737,0.2537378,0.5649301,0.00007718405,0.003829595,0.1076682],"study_design_scores_gemma":[0.001012212,0.00003633214,0.00008653565,0.0003455868,0.0002280476,0.0005632843,0.00009356076,0.8423581,0.148743,0.0000307011,0.006240807,0.0002618826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848854,0.001664059,0.0002668594,0.0003033102,0.00001749382,0.0001899987,0.00004763545,0.00008513022,0.01254014],"genre_scores_gemma":[0.9858466,0.0005837307,0.009071486,0.00004883924,0.00008072468,0.00001899065,0.0001128976,0.0000370194,0.00419976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5886202,"threshold_uncertainty_score":0.999983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280630556915449,"score_gpt":0.2307935379309822,"score_spread":0.2179872323618277,"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."}}