{"id":"W1979127544","doi":"10.1002/2014eo480001","title":"Magnetic Storms and Induction Hazards","year":2014,"lang":"en","type":"article","venue":"Eos","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; U.S. Geological Survey; National Aeronautics and Space Administration","keywords":"Geomagnetic storm; Storm; Electromagnetic induction; Electricity; Earth's magnetic field; Magnetic field; Civilization; Geophysics; Grid; Meteorology; Electrical engineering; Engineering; Environmental science; Physics; Geology; History; Geodesy; Archaeology","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":[0.0003101598,0.0002400555,0.0002059198,0.0007554553,0.0009812625,0.00169915,0.0002394527,0.0009051507,0.007301461],"category_scores_gemma":[0.001967395,0.00009767526,0.0001198474,0.001113311,0.001213722,0.001121558,0.001399608,0.0007694546,0.0008246931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007923329,"about_ca_system_score_gemma":0.0007026236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006428297,"about_ca_topic_score_gemma":0.005682409,"domain_scores_codex":[0.9996243,0.00009261672,0.00001919853,0.00004095428,0.0001272352,0.00009568609],"domain_scores_gemma":[0.998921,0.0002611773,0.0004117832,0.00005400678,0.0001648067,0.0001871877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004839007,0.0002317336,0.09339939,0.001021745,0.00007255473,0.003648796,0.007507739,0.008297671,0.002832789,0.3692638,0.1765316,0.3367082],"study_design_scores_gemma":[0.00007680699,0.0002817106,0.1218067,0.0008441333,0.00004544311,0.004431217,0.01136416,0.002730553,0.0004424043,0.1542831,0.7036354,0.0000583953],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2701814,0.1114357,0.01671301,0.05361268,0.004911752,0.0001640755,0.001736975,0.0002749434,0.5409694],"genre_scores_gemma":[0.9111615,0.0457338,0.00166263,0.00340444,0.004768006,0.00004189441,0.0006362403,0.00003521826,0.03255626],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.007301461,"threshold_uncertainty_score":0.0244258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005809971561544931,"score_gpt":0.1765338820766804,"score_spread":0.1707239105151355,"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."}}