{"id":"W3028472509","doi":"10.1051/swsc/2020023","title":"Semi-annual, annual and Universal Time variations in the magnetosphere and in geomagnetic activity: 1. Geomagnetic data","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":83,"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; Sight Research UK; Goddard Space Flight Center; Natural Environment Research Council; University of Southampton; University of Reading; National Aeronautics and Space Administration","keywords":"Earth's magnetic field; Noon; Magnetosphere; Interplanetary magnetic field; Geomagnetic storm; Geomagnetic secular variation; Physics; Solar wind; Interplanetary spaceflight; Atmospheric sciences; Geophysics; Magnetic field","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003758642,0.0002238197,0.0003655576,0.00004109001,0.00009375574,0.0001232771,0.000265227,0.00007113621,0.0002911137],"category_scores_gemma":[0.00001799214,0.0001750996,0.00003889044,0.0002372665,0.0001123505,0.0006163488,0.0002418695,0.0004165834,0.000006378329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001362559,"about_ca_system_score_gemma":0.00006976786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003063029,"about_ca_topic_score_gemma":0.0001925347,"domain_scores_codex":[0.9988245,0.0001263927,0.0002723819,0.0002806857,0.0001781074,0.0003178889],"domain_scores_gemma":[0.9991967,0.0001639545,0.0002110544,0.0002277788,0.0000552053,0.0001453039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002791175,0.002125883,0.7467463,0.000650744,0.000584883,0.000894915,0.07615381,0.002408594,0.01145633,0.02149352,0.02666098,0.1080329],"study_design_scores_gemma":[0.01282671,0.00399853,0.7134348,0.0004126277,0.0008058096,0.0002602618,0.09497081,0.1317332,0.00005181136,0.003567788,0.03625246,0.00168523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853043,0.001142984,0.0004926935,0.009469226,0.00003833792,0.000235008,0.0002306429,0.000008180584,0.00307863],"genre_scores_gemma":[0.9979286,0.0004809005,0.0008235821,0.0001559943,0.0001458275,0.00000204803,0.00001012495,0.00002332241,0.0004296051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1293246,"threshold_uncertainty_score":0.7140353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007852966047127994,"score_gpt":0.220251499912659,"score_spread":0.2123985338655311,"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."}}