{"id":"W1595634398","doi":"10.1002/2015ja021022","title":"Modular model for Mercury's magnetospheric magnetic field confined within the average observed magnetopause","year":2015,"lang":"en","type":"article","venue":"Journal of Geophysical Research Space Physics","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Carnegie Institution of Washington; Johns Hopkins University; National Aeronautics and Space Administration","keywords":"Magnetopause; Magnetosphere; Physics; Geophysics; Magnetic field; Current sheet; Mercury's magnetic field; Magnetosheath; Dipole model of the Earth's magnetic field; Computational physics; Magnetic reconnection; Dipole; Magnetic dipole; Ring current; Earth's magnetic field; L-shell; Solar wind; Interplanetary magnetic field; Magnetohydrodynamics","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":[0.0003844247,0.0005162049,0.0006046642,0.000480092,0.0004055177,0.000888636,0.002350662,0.001029071,0.003483206],"category_scores_gemma":[0.001043804,0.0003658775,0.0008073955,0.0005811905,0.0006030983,0.00102599,0.0007839742,0.0004748229,0.0008017497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001406131,"about_ca_system_score_gemma":0.001071056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02138913,"about_ca_topic_score_gemma":0.0109042,"domain_scores_codex":[0.9998671,0.00003092425,0.00000364663,0.00004523477,0.00002287102,0.00003017035],"domain_scores_gemma":[0.9997478,0.00008165416,0.00005732281,0.00002221207,0.00005409088,0.00003685987],"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":[0.00002372743,0.000011146,0.001381017,0.00001134111,0.00001924592,0.00004910209,0.00002617151,0.9908385,0.0008389102,0.005197896,0.0002456564,0.001357459],"study_design_scores_gemma":[0.00001004081,0.00001210208,0.0006408112,0.000002994317,0.000007639856,0.00001872382,0.000009221553,0.9966407,0.00007319139,0.002292494,0.0002871662,0.00000501143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4723316,0.0004107216,0.4912032,0.00113366,0.00006968393,0.0001113974,0.001922803,0.0009234461,0.03189344],"genre_scores_gemma":[0.9764946,0.0002002651,0.01109717,0.00009096149,0.00004359347,0.000168461,0.0005323809,0.0001221149,0.01125058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02138913,"threshold_uncertainty_score":0.04252928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06208615029606768,"score_gpt":0.3130122665718818,"score_spread":0.2509261162758141,"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."}}