{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001304294,0.0003828428,0.000258075,0.0009035699,0.0003492796,0.001225288,0.0005056558,0.0007297519,0.00252873],"category_scores_gemma":[0.01294723,0.0002067847,0.000191306,0.001177144,0.0003585852,0.0009065156,0.0005670862,0.0005724489,0.0008130617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004136143,"about_ca_system_score_gemma":0.0004332375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003628457,"about_ca_topic_score_gemma":0.002787946,"domain_scores_codex":[0.9989204,0.0003543483,0.0000625311,0.0001424915,0.0004424803,0.00007771568],"domain_scores_gemma":[0.9939104,0.003611461,0.0003404047,0.0008265443,0.001239185,0.00007195513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006662635,0.00008716352,0.03583056,0.000621315,0.00006947625,0.001054095,0.0009846233,0.199089,0.05203425,0.07612202,0.009403176,0.624038],"study_design_scores_gemma":[0.00006188873,0.0004366461,0.0429782,0.000427983,0.00008640783,0.002370261,0.0009944717,0.7548423,0.0533796,0.05747342,0.08684269,0.0001061664],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2144081,0.003287772,0.7342588,0.002917136,0.0005564701,0.0001550589,0.000578894,0.001624007,0.04221371],"genre_scores_gemma":[0.9133213,0.001192294,0.08208235,0.0002184294,0.0002962874,0.00006799016,0.0002745586,0.0001196693,0.002427021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003628457,"threshold_uncertainty_score":0.008459449,"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."}}