{"id":"W3044805193","doi":"10.1109/tpwrd.2020.3010195","title":"Evaluation of Simulation Methods for Analysis of Geomagnetic Disturbance System Impacts","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Hydro-Québec; Polytechnique Montréal","funders":"","keywords":"Geomagnetically induced current; Electric power system; Reliability engineering; Transformer; Engineering; Electric power transmission; Electromagnetic coil; Disturbance (geology); Voltage; Control theory (sociology); Earth's magnetic field; Computer science; Geomagnetic storm; Electrical engineering; Power (physics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0004549254,0.0001142904,0.0003081696,0.0001452237,0.00005707496,0.000009290326,0.00008459228,0.00003057724,0.0001620797],"category_scores_gemma":[0.000006172261,0.000109756,0.0002569393,0.0005742995,0.00002458883,0.00007558103,6.614675e-7,0.00006295925,0.000002166548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004770186,"about_ca_system_score_gemma":0.00006601534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004880467,"about_ca_topic_score_gemma":0.000001110738,"domain_scores_codex":[0.9989129,0.0001596204,0.0003283361,0.0001986717,0.0002628896,0.0001375389],"domain_scores_gemma":[0.9989593,0.000247642,0.0001767521,0.0001794125,0.0003722699,0.00006463841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001103102,0.0001415616,0.00007848155,0.00004811432,0.001364902,2.509899e-8,0.001058164,0.9441749,0.0218604,0.0001440868,0.0000153694,0.03100369],"study_design_scores_gemma":[0.0007417776,0.0005339668,0.001121223,0.00002545552,0.005036514,4.545106e-8,0.0002561444,0.9379185,0.05410588,0.0000994133,0.0000337419,0.0001273833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3343819,0.00008193121,0.6646698,0.00002310011,0.00007791333,0.0002180171,0.00009340555,0.0000146158,0.0004392632],"genre_scores_gemma":[0.9969846,9.44744e-7,0.00289768,0.00001418976,0.00001960612,0.00004014244,0.0000138229,0.00001126037,0.00001777698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6626027,"threshold_uncertainty_score":0.4475718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03767778421848532,"score_gpt":0.3306968757144449,"score_spread":0.2930190914959596,"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."}}