{"id":"W2043506782","doi":"10.1109/pesmg.2013.6673069","title":"Modelling considerations for the Hydro One real-time GMD management system","year":2013,"lang":"en","type":"article","venue":"","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro One (Canada)","funders":"","keywords":"Geomagnetically induced current; Transformer; Electric power system; Computer science; Reliability engineering; Earth's magnetic field; Real-time computing; Engineering; Electrical engineering; Geomagnetic storm; Voltage; Magnetic field; Power (physics); Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000293569,0.0005126558,0.000448812,0.0003053466,0.0009907391,0.001375307,0.001286125,0.0009019532,0.004545902],"category_scores_gemma":[0.0006802006,0.0003065779,0.000448605,0.0002643404,0.0006353898,0.0008558032,0.0005511932,0.0008130497,0.0005793008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005237803,"about_ca_system_score_gemma":0.005440408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4525633,"about_ca_topic_score_gemma":0.3557965,"domain_scores_codex":[0.9997445,0.00004493481,0.000006977579,0.00003405483,0.0001135514,0.00005597136],"domain_scores_gemma":[0.9997613,0.00005726337,0.00002604578,0.0000190119,0.0001066443,0.0000296591],"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":[0.00007628781,0.00001997123,0.001630376,0.00005884483,0.00001106379,0.0002282408,0.0002072239,0.9715337,0.003219882,0.01240909,0.002295814,0.008309437],"study_design_scores_gemma":[0.00002952382,0.00003519742,0.001035728,0.00001607413,0.00001394553,0.0000431707,0.0001122855,0.9865622,0.0007633641,0.001811597,0.009554216,0.0000227152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3572167,0.0007916436,0.426928,0.005497218,0.0003232975,0.0005652671,0.002565549,0.003170941,0.2029414],"genre_scores_gemma":[0.9589656,0.0002924354,0.02151439,0.000150966,0.00003590035,0.0001156408,0.0003759132,0.0001079183,0.01844124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4525633,"threshold_uncertainty_score":0.8998581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665486330506054,"score_gpt":0.2022211003553466,"score_spread":0.1855662370502861,"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."}}