{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006347011,0.0002107405,0.0002406674,0.001295874,0.0007835589,0.0007527787,0.000469571,0.000183681,0.0006173198],"category_scores_gemma":[0.002786559,0.00009281238,0.0002780827,0.002353939,0.0004636688,0.0002038378,0.0005139856,0.0002725561,0.00004487421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007613946,"about_ca_system_score_gemma":0.006669632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9296808,"about_ca_topic_score_gemma":0.9562014,"domain_scores_codex":[0.9994166,0.00005530049,0.00002626694,0.00006765628,0.0002845048,0.0001498073],"domain_scores_gemma":[0.9982261,0.0002898512,0.0002528942,0.00007356288,0.0009695333,0.0001881221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002880673,0.0000422336,0.9420218,0.00005478114,0.0001418855,0.0004776386,0.0005284083,0.02809587,0.002241508,0.001132362,0.001079967,0.02389554],"study_design_scores_gemma":[0.000006046607,0.00003759134,0.9756675,0.000008748173,0.00002009126,0.00009071265,0.000663095,0.02130814,0.0008216738,0.0002692676,0.001090731,0.00001636008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952068,0.00006229983,0.001322918,0.00004338425,0.000002143247,0.0000239783,0.001757539,0.00002248402,0.001558603],"genre_scores_gemma":[0.9981194,0.0000293447,0.0005301828,0.000004741115,5.322809e-7,0.00000403168,0.001040821,0.000002142335,0.0002688535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07031924,"threshold_uncertainty_score":0.1414667,"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."}}