{"id":"W3046225151","doi":"","title":"Statistical analysis of extreme values for geomagnetic and geoelectric field variations for Canada","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Earth's magnetic field; Field (mathematics); Geology; Geophysics; Statistical analysis; Climatology; Meteorology; Geodesy; Geography; Statistics; Mathematics; Magnetic field; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003782131,0.0003231844,0.0006146678,0.002027253,0.001769808,0.001331723,0.001674608,0.0003904749,0.00346346],"category_scores_gemma":[0.01607564,0.0002355667,0.0010979,0.00460913,0.001149786,0.0004111606,0.001061911,0.001160596,0.0001562885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01661082,"about_ca_system_score_gemma":0.04245035,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9886429,"about_ca_topic_score_gemma":0.9870527,"domain_scores_codex":[0.9963657,0.000724618,0.0001966914,0.0006274692,0.001245504,0.0008399985],"domain_scores_gemma":[0.9854715,0.005283715,0.00100614,0.0008678871,0.006200389,0.001170299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005694677,0.00004223262,0.9632425,0.00005685482,0.0005973998,0.0001356554,0.0007689593,0.004901634,0.0004321743,0.002867813,0.007303023,0.01908228],"study_design_scores_gemma":[0.00002388254,0.00004871946,0.9873434,0.00001843616,0.00009385477,0.00004783841,0.001297163,0.007324312,0.0001930377,0.000465193,0.003115348,0.00002882128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718829,0.0003952334,0.003982791,0.0004382773,0.0000308809,0.00008478812,0.01916131,0.0001125871,0.003911075],"genre_scores_gemma":[0.9896136,0.0001133026,0.001373114,0.00003701698,0.000006656644,0.00003437342,0.006998717,0.0000420093,0.001781279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01661082,"threshold_uncertainty_score":0.1205205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277705272295678,"score_gpt":0.2333593092511916,"score_spread":0.2105822565282348,"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."}}