{"id":"W2027600772","doi":"10.1088/0022-3727/36/17/310","title":"Numerical simulation of an inductively coupled discharge using an Eulerian Vlasov code","year":2003,"lang":"en","type":"article","venue":"Journal of Physics D Applied Physics","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Hydro-Québec","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Eulerian path; Vlasov equation; Physics; Nonlinear system; Inductively coupled plasma; Computational physics; Field (mathematics); Harmonic; Mechanics; Plasma; Quantum electrodynamics; Classical mechanics; Quantum mechanics; Lagrangian; Mathematics; Theoretical physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004320621,0.000504699,0.0007855357,0.0004808675,0.0007373291,0.0007734597,0.001274574,0.001520705,0.002867212],"category_scores_gemma":[0.001647675,0.0003453278,0.0005350584,0.0008048798,0.0009305523,0.0004783727,0.0009065627,0.0007493993,0.0003174465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009807999,"about_ca_system_score_gemma":0.001906816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01487137,"about_ca_topic_score_gemma":0.004998534,"domain_scores_codex":[0.9997705,0.00005127813,0.0000134051,0.0000252043,0.00008953152,0.00005026115],"domain_scores_gemma":[0.9994345,0.0002813827,0.00005865596,0.00004112026,0.0001187457,0.00006557776],"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":[0.00003122971,0.00001505521,0.0004183229,0.00002585675,0.000009745667,0.00006149128,0.00003157262,0.9931722,0.001540918,0.003404662,0.000164725,0.001124246],"study_design_scores_gemma":[0.00001312213,0.0000115364,0.00009005058,0.000002613956,0.000002139896,0.000008812556,0.000006716712,0.9986304,0.0004119863,0.0005026507,0.0003154515,0.000004582108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5898044,0.0005008416,0.3611977,0.0009017221,0.0002909176,0.0003095065,0.001928829,0.001448384,0.04361766],"genre_scores_gemma":[0.925468,0.0002691194,0.06501986,0.000134468,0.00003682977,0.0005201809,0.001009512,0.000140568,0.007401413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01487137,"threshold_uncertainty_score":0.02956957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03226416282639626,"score_gpt":0.2701391371281029,"score_spread":0.2378749743017067,"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."}}