{"id":"W3094508144","doi":"10.1051/swsc/2020062","title":"Semi-annual, annual and Universal Time variations in the magnetosphere and in geomagnetic activity: 3. Modelling","year":2020,"lang":"en","type":"article","venue":"Journal of Space Weather and Space Climate","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Multidisciplinary University Research Initiative; Natural Environment Research Council; University of Southampton; Goddard Space Flight Center; Sight Research UK; University of Michigan; National Aeronautics and Space Administration; University of Reading; National Science Foundation","keywords":"Magnetosphere; Physics; Magnetopause; Magnetosheath; Solar wind; Earth's magnetic field; Dipole; Universal Time; Computational physics; Magnetic reconnection; Astrophysics; Amplitude; Geophysics; Flux (metallurgy); Atmospheric sciences; Plasma; Astronomy; Magnetic field; Nuclear 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":[0.0005448849,0.0003761754,0.0002973112,0.0003710111,0.0002762569,0.001586839,0.001104548,0.0009664536,0.00290136],"category_scores_gemma":[0.001338318,0.0002036036,0.0009955752,0.0007943911,0.0005851159,0.001335902,0.0008881319,0.0005518726,0.0003960991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007058023,"about_ca_system_score_gemma":0.0005665619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008109318,"about_ca_topic_score_gemma":0.005234346,"domain_scores_codex":[0.9998364,0.0000504575,0.00001200352,0.00003291367,0.00003570371,0.00003231544],"domain_scores_gemma":[0.9996209,0.0001686954,0.00008395626,0.00004409724,0.00004955466,0.00003274439],"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":[0.0000420474,0.00005263229,0.01161586,0.0002095802,0.00009281362,0.0001744351,0.0005340212,0.69349,0.001793127,0.2654465,0.004468259,0.02208078],"study_design_scores_gemma":[0.00002212396,0.00004112054,0.009419912,0.00007591378,0.0000396498,0.0002528756,0.0002007957,0.8415827,0.0003519943,0.1179909,0.02997933,0.00004269214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3499689,0.01230073,0.4991525,0.007299732,0.0007477424,0.0001865346,0.004472081,0.0008950914,0.1249768],"genre_scores_gemma":[0.9467106,0.005271497,0.03145016,0.0002296614,0.0003628958,0.0001363977,0.0006093666,0.0001760684,0.01505323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008109318,"threshold_uncertainty_score":0.01612425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005895651375216863,"score_gpt":0.2018998836554998,"score_spread":0.196004232280283,"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."}}