{"id":"W2761395372","doi":"10.1002/2017sw001662","title":"Extreme Value Analysis of Induced Geoelectric Field in South Africa","year":2017,"lang":"en","type":"article","venue":"Space Weather","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geomagnetic storm; Earth's magnetic field; Extreme value theory; Storm; Latitude; Log-normal distribution; Return period; Event (particle physics); Climatology; Environmental science; Meteorology; Atmospheric sciences; Physics; Statistics; Mathematics; Geology; Geography; Geodesy; Magnetic field; Astrophysics","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002346569,0.00008736101,0.0002450182,0.0004656821,0.0001152367,0.00005252441,0.0002186937,0.00007199011,0.003649049],"category_scores_gemma":[0.000118949,0.00007137826,0.0001648876,0.0007369044,0.00002488327,0.00009387569,0.000008239324,0.000112897,0.0000887908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002215422,"about_ca_system_score_gemma":0.00001871922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005019758,"about_ca_topic_score_gemma":0.01556044,"domain_scores_codex":[0.9992403,0.0000521715,0.0001471091,0.0001923625,0.0001749779,0.0001930901],"domain_scores_gemma":[0.9993267,0.00005816993,0.0001463967,0.0003890017,0.00002210228,0.00005759612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001850304,0.00001334341,0.9804489,0.000002399292,0.0002184465,0.000005805937,0.001060437,0.001205701,0.0003822958,0.00003910053,0.00003069125,0.01657437],"study_design_scores_gemma":[0.0001524136,0.00006655468,0.9697638,0.000005264366,0.0002024363,2.175661e-7,0.0002356919,0.02812911,0.0006902308,0.0001056775,0.0005415622,0.0001071017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702899,0.0001624849,0.0001754401,0.0002716877,0.00005374984,0.00004475158,0.000009813668,0.00001301199,0.02897919],"genre_scores_gemma":[0.9974391,0.00001240792,0.0001010853,0.000044212,0.00002497302,4.358683e-7,0.000004199759,0.000002102032,0.002371459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02714926,"threshold_uncertainty_score":0.9972618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03164147349357982,"score_gpt":0.2321578140869776,"score_spread":0.2005163405933978,"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."}}