{"id":"W2803271863","doi":"10.48550/arxiv.1805.10888","title":"Numerical Simulations to the Vlasov-Poisson System with a Strong Magnetic Field","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Gas Dynamics and Kinetic Theory","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"European Commission; National Natural Science Foundation of China; EUROfusion","keywords":"Magnetic field; Poisson distribution; Physics; Computer simulation; Scheme (mathematics); Statistical physics; Vlasov equation; Kinetic energy; Poisson's equation; Field (mathematics); Classical mechanics; Plasma; Applied mathematics; Mathematics; Mathematical analysis; Mechanics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005508334,0.0004204698,0.000721692,0.0003830029,0.0006584928,0.0006315506,0.001109119,0.0009590161,0.00150602],"category_scores_gemma":[0.002620895,0.0002284766,0.0004031776,0.0005716739,0.0009232602,0.000546572,0.001098528,0.0007590059,0.0002006748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006533334,"about_ca_system_score_gemma":0.0007973823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005088149,"about_ca_topic_score_gemma":0.002427234,"domain_scores_codex":[0.9997361,0.0001009649,0.00001187661,0.00002455914,0.00008712147,0.00003932478],"domain_scores_gemma":[0.9992409,0.0004508249,0.00008261274,0.00004748745,0.00009696636,0.00008120191],"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":[0.0000771032,0.00004871815,0.0007410128,0.00006891662,0.00002427757,0.00014813,0.0001067125,0.9479355,0.004049647,0.04250365,0.0003777457,0.003918721],"study_design_scores_gemma":[0.00001360731,0.000007232389,0.00004104577,0.000002320576,0.000001726074,0.000011568,0.000008618204,0.9965144,0.0004932294,0.002638687,0.000264263,0.000003319475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3430146,0.0005874611,0.6361193,0.000956041,0.0002693661,0.0001301456,0.0001914377,0.0003643773,0.01836734],"genre_scores_gemma":[0.8603186,0.0003101456,0.1346586,0.0001588762,0.00008225532,0.0001943982,0.0001480148,0.0001241542,0.004004897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005088149,"threshold_uncertainty_score":0.01011705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05451716813722893,"score_gpt":0.2062983207328278,"score_spread":0.1517811525955989,"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."}}