{"id":"W2571134787","doi":"10.1002/2016rs006106","title":"Multiinstrument observations of a geomagnetic storm and its effects on the Arctic ionosphere: A case study of the 19 February 2014 storm","year":2017,"lang":"en","type":"article","venue":"Radio Science","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Canadian Space Agency; Jet Propulsion Laboratory; Danmarks Tekniske Universitet; European Space Agency; National Aeronautics and Space Administration; California Institute of Technology; Ohio State University; Natural Sciences and Engineering Research Council of Canada; Johns Hopkins University; National Science Foundation","keywords":"Geomagnetic storm; Ionosphere; Storm; Atmospheric sciences; Arctic; Ionosonde; Polar; Geology; Earth's magnetic field; Environmental science; Climatology; Geophysics; Physics; Oceanography; Electron density; Astronomy; Plasma","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003526009,0.0002655972,0.0002553816,0.0008134921,0.0007582703,0.0005259156,0.0003392117,0.0005422336,0.0003476329],"category_scores_gemma":[0.0003928868,0.0001367346,0.0003133887,0.000887221,0.0002848586,0.0002029082,0.0004272435,0.0003135934,0.00006579277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000698101,"about_ca_system_score_gemma":0.0004510939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05643492,"about_ca_topic_score_gemma":0.1165355,"domain_scores_codex":[0.9998306,0.00002844192,0.000008635314,0.00003193724,0.00005894708,0.00004141315],"domain_scores_gemma":[0.9997469,0.00006116599,0.0000537316,0.00002725409,0.00006383927,0.00004712032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007368855,0.0005367873,0.8625223,0.00009995446,0.000321149,0.01949208,0.002841791,0.02808883,0.05343421,0.0005504324,0.001769391,0.02960613],"study_design_scores_gemma":[0.00002641967,0.0001889337,0.9676902,0.00001506292,0.00008126556,0.0008891831,0.001432493,0.02340667,0.004052593,0.0001224169,0.002068174,0.00002663394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982238,0.0000469746,0.0005232418,0.00004652067,0.000007789042,0.00001548575,0.0002269169,0.00001766039,0.0008916846],"genre_scores_gemma":[0.9981273,0.00006797742,0.001274999,0.0000148157,0.00002009924,0.000006618211,0.000256055,0.000005677296,0.0002264898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05643492,"threshold_uncertainty_score":0.1122129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155215782618753,"score_gpt":0.2436610637093593,"score_spread":0.228139485447484,"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."}}