{"id":"W3204057087","doi":"10.1093/mnras/stab2813","title":"On the Impact of the Numerical Method on Magnetic Reconnection and Particle Acceleration -- I. The MHD case","year":2021,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Solar and Space Plasma Dynamics","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut sur la Nutrition et les Aliments Fonctionnels","keywords":"Physics; Magnetohydrodynamics; Magnetic reconnection; Current sheet; Classical mechanics; Particle acceleration; Tearing; Mechanics; Acceleration; Magnetic field; Quantum mechanics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002828856,0.0006212152,0.0007200584,0.0005734483,0.0008178494,0.002020155,0.0007018596,0.001429717,0.002263609],"category_scores_gemma":[0.01951574,0.0003064154,0.0005052278,0.0005408538,0.00145861,0.00177142,0.00170504,0.001032776,0.0003111345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005601961,"about_ca_system_score_gemma":0.0005106586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002930484,"about_ca_topic_score_gemma":0.001756455,"domain_scores_codex":[0.9984304,0.001045272,0.00007675077,0.00009219302,0.0002608589,0.0000944255],"domain_scores_gemma":[0.9915261,0.006683806,0.0005717679,0.0006207001,0.0004698377,0.0001278765],"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":[0.0009609688,0.0002928392,0.01488793,0.0008046941,0.0001434072,0.00106768,0.0004499338,0.8128968,0.0220881,0.1069081,0.001740724,0.03775878],"study_design_scores_gemma":[0.00003578142,0.00007838789,0.0009202583,0.00005330943,0.0000158783,0.00009641241,0.00004333101,0.9910398,0.002664906,0.00418137,0.0008538502,0.00001668241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7465065,0.008651879,0.1861931,0.004598066,0.0009055139,0.0002089623,0.0003273895,0.0006975662,0.05191109],"genre_scores_gemma":[0.952129,0.00146361,0.04353111,0.0002468956,0.0001503155,0.00009793145,0.00007534883,0.000269002,0.002036833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002930484,"threshold_uncertainty_score":0.01496059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04279017055632747,"score_gpt":0.2100876920050117,"score_spread":0.1672975214486842,"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."}}