{"id":"W3206935187","doi":"10.1029/2021sw002824","title":"Climatological Statistics of Extreme Geomagnetic Fluctuations With Periods From 1 s to 60 min","year":2021,"lang":"en","type":"article","venue":"Space Weather","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"British Antarctic Survey; Università degli Studi dell'Aquila; Sveriges Geologiska Undersökning; Sight Research UK; Florida Institute of Technology; Natural Environment Research Council; Alberta Agricultural Research Institute; U.S. Geological Survey; Universitetet i Tromsø","keywords":"Earth's magnetic field; Substorm; Geomagnetic latitude; Physics; Latitude; Magnetometer; Geophysics; Percentile; Interplanetary magnetic field; Atmospheric sciences; Solar wind; Geodesy; Geology; Magnetic field; Magnetosphere; Mathematics; Statistics","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":[0.0004398285,0.0001773389,0.0002542066,0.001914514,0.00009685932,0.0003871296,0.0001543691,0.0001746915,0.001030973],"category_scores_gemma":[0.001831938,0.00006891879,0.0002721043,0.001569696,0.000140143,0.0002105642,0.0002961039,0.0001550292,0.000321699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001463743,"about_ca_system_score_gemma":0.00008681317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003834718,"about_ca_topic_score_gemma":0.00331686,"domain_scores_codex":[0.9998183,0.00002302691,0.00002611653,0.00006035833,0.00003915844,0.00003309064],"domain_scores_gemma":[0.998187,0.0004483281,0.0008363759,0.0001636551,0.0002496132,0.0001149072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006721301,0.00001284559,0.9868544,0.00002345176,0.00006959821,0.00006786141,0.00005974242,0.004990921,0.0008491364,0.0001323262,0.0007337049,0.006138762],"study_design_scores_gemma":[0.000002028328,0.00002955226,0.9945575,0.000003625028,0.000007598787,0.00008838009,0.0000441658,0.004480729,0.0002167929,0.0000436153,0.0005221146,0.000003819751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924961,0.00006513772,0.0006529831,0.00001419305,0.000003202487,0.000004871116,0.006023336,0.00008567452,0.0006545418],"genre_scores_gemma":[0.9929643,0.00003273627,0.0002398581,0.000003585235,0.000005215452,0.000005748181,0.006623925,0.000007373844,0.0001171987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003834718,"threshold_uncertainty_score":0.007624805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01625220417647126,"score_gpt":0.2094261148357846,"score_spread":0.1931739106593134,"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."}}