{"id":"W2433228024","doi":"10.1002/2016sw001386","title":"Assessment of extreme values in geomagnetic and geoelectric field variations for Canada","year":2016,"lang":"en","type":"article","venue":"Space Weather","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Earth's magnetic field; Space weather; Extreme value theory; Geomagnetic latitude; Geophysics; Latitude; Ionospheric dynamo region; Geomagnetically induced current; Environmental science; Geology; Climatology; Geomagnetic storm; Magnetic field; Geodesy; Physics; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001062877,0.00004419887,0.00008136285,0.00006353879,0.00003061762,0.00000693413,0.00003464468,0.00002139885,0.001391072],"category_scores_gemma":[0.00004153001,0.00002909469,0.00001945724,0.0001316174,0.00001042961,0.00003459079,0.000001827737,0.00002217741,0.000001645099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004180977,"about_ca_system_score_gemma":0.00008268479,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2827067,"about_ca_topic_score_gemma":0.8618376,"domain_scores_codex":[0.9996063,0.00002389037,0.00008509461,0.00009797377,0.00008164375,0.0001051421],"domain_scores_gemma":[0.9996431,0.0002075971,0.00003276082,0.00006646111,0.00001810468,0.00003194902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005955322,0.000008134375,0.9227237,0.000008261793,0.00001636262,0.000001069419,0.00003926356,0.0001179478,0.0007190204,0.0002870595,0.0005237475,0.07554952],"study_design_scores_gemma":[0.0002290505,0.000108101,0.9895391,0.00000949393,0.00001086264,8.073306e-7,0.00003828154,0.007138481,0.0002061749,0.0006741214,0.001987799,0.00005765954],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810145,0.0003644872,0.009377918,0.003494622,0.00009713366,0.0001625137,0.00004660058,0.00001002744,0.005432124],"genre_scores_gemma":[0.9962847,0.00004349533,0.0007624953,0.00007791326,0.00001887718,0.000001435746,0.00000199083,0.000001254229,0.002807798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5791308,"threshold_uncertainty_score":0.9995218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008824842315004067,"score_gpt":0.2098976391169535,"score_spread":0.2010727968019494,"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."}}