{"id":"W2954031054","doi":"","title":"Lecture note ISSS9 The 9 th International School of Space Simulations: Eulerian Vlasov models for plasma simulation: review and advances","year":2009,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Laser-induced spectroscopy and plasma","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"IGNITOR; Plasma; Physics; Acceleration; National Ignition Facility; Computational physics; Particle acceleration; Vlasov equation; Eulerian path; Space (punctuation); Particle (ecology); Laser; Ignition system; Statistical physics; Nuclear physics; Inertial confinement fusion; Classical mechanics; Computer science; Lagrangian; Optics; Theoretical physics; Geology","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":[0.002458904,0.001002381,0.001454118,0.001082296,0.0005340376,0.001968329,0.001288911,0.001588208,0.01056271],"category_scores_gemma":[0.003474937,0.0004889962,0.000883792,0.002185948,0.001102255,0.002323441,0.001649496,0.002503077,0.005483306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640344,"about_ca_system_score_gemma":0.00188714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001864356,"about_ca_topic_score_gemma":0.001194734,"domain_scores_codex":[0.9990438,0.0002742287,0.00005751037,0.0001741454,0.0003689697,0.00008135019],"domain_scores_gemma":[0.9977607,0.0008012958,0.00009788745,0.0002907183,0.0008420009,0.0002074777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002672358,0.0001750987,0.0007733654,0.002002335,0.0002141648,0.0001132231,0.0001632245,0.04449624,0.004145012,0.1317805,0.2728719,0.5429977],"study_design_scores_gemma":[0.00008126656,0.0002166284,0.001307361,0.0008157162,0.00008259822,0.0001711756,0.000084559,0.06369315,0.007973579,0.1040456,0.8214607,0.00006758645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0121362,0.5226616,0.2718138,0.03348167,0.04891869,0.0001325375,0.001233939,0.001907909,0.1077138],"genre_scores_gemma":[0.1580158,0.534426,0.1440925,0.002698178,0.02806143,0.0002770313,0.005050724,0.002285815,0.1250926],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01056271,"threshold_uncertainty_score":0.03533584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01286304144046823,"score_gpt":0.2564905436754481,"score_spread":0.2436275022349799,"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."}}