{"id":"W3189454113","doi":"10.1029/2020sw002694","title":"Frequency Considerations in GIC Applications","year":2021,"lang":"en","type":"article","venue":"Space Weather","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geomagnetically induced current; Harmonics; Earth's magnetic field; Sampling (signal processing); Harmonic analysis; Transformer; Geomagnetic storm; Geophysics; Meteorology; Environmental science; Remote sensing; Physics; Geology; Electronic engineering; Magnetic field; Engineering; Voltage; Electrical engineering; Optics","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":["insufficient_payload"],"category_scores_codex":[0.00007076744,0.0000524927,0.00007533785,0.00006159006,0.00008435408,0.00004219493,0.00003006888,0.00003339732,0.02256818],"category_scores_gemma":[0.00002699124,0.00004838324,0.00004151405,0.0003549043,0.00002485976,0.00006534308,0.00000222976,0.00007783161,0.001163541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002302152,"about_ca_system_score_gemma":0.00005060031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006450122,"about_ca_topic_score_gemma":0.04553531,"domain_scores_codex":[0.9995126,0.00004740734,0.00009459004,0.0001529546,0.00007977823,0.0001126443],"domain_scores_gemma":[0.9997044,0.00005167079,0.00002033663,0.0001458437,0.00002998982,0.00004782761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[5.667237e-7,0.00002484185,0.9869977,0.000003568559,0.00001523838,0.00003354437,0.0001479776,0.001080597,0.0007733814,0.004912762,0.0003150433,0.00569481],"study_design_scores_gemma":[0.0002732161,0.00001536889,0.9335549,0.000009308562,0.00001941057,0.00003957077,0.0006638626,0.00167654,0.001064007,0.02514638,0.03732055,0.0002168787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6940433,0.004884627,0.003660368,0.009487671,0.0002076752,0.0002946206,0.00008638074,0.0001499736,0.2871853],"genre_scores_gemma":[0.9927639,0.00003812228,0.001777401,0.0003854245,0.00004502215,0.000003503236,0.0000259352,0.000001788734,0.004958846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2987206,"threshold_uncertainty_score":0.9996142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145216017927678,"score_gpt":0.212446346561702,"score_spread":0.2009941863824252,"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."}}