{"id":"W2721697698","doi":"10.1002/2017sw001613","title":"Modeling geomagnetic induced currents in Australian power networks","year":2017,"lang":"en","type":"article","venue":"Space Weather","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; National Oceanic and Atmospheric Administration","keywords":"Earth's magnetic field; Geomagnetic storm; Storm; Latitude; Climatology; Meteorology; Transformer; Geology; Atmospheric sciences; Geodesy; Geography; Magnetic field; Physics; Engineering; Electrical engineering; Voltage","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002334608,0.0004114425,0.0003140084,0.0003649131,0.000487141,0.0009065571,0.0008768092,0.0007770553,0.001434205],"category_scores_gemma":[0.001167906,0.000372398,0.000394797,0.0004862496,0.0004413324,0.0008002803,0.0005692502,0.0005264445,0.0001274073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003373459,"about_ca_system_score_gemma":0.001526166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2191938,"about_ca_topic_score_gemma":0.1052652,"domain_scores_codex":[0.9998662,0.00004112013,0.000004768179,0.00003265377,0.00002562354,0.00002954618],"domain_scores_gemma":[0.9997744,0.00007439007,0.00004138954,0.00001395359,0.00007141276,0.00002447817],"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":[0.000010858,0.00001052617,0.002437966,0.000005039498,0.00000517251,0.00004526867,0.00003674078,0.9955174,0.000251439,0.0005716927,0.00009533961,0.001012618],"study_design_scores_gemma":[0.000004296619,0.00001107489,0.001280238,0.000001725602,0.000003287196,0.000004764059,0.00001984445,0.9981357,0.00008474507,0.0002609409,0.0001912636,0.000002095324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966337,0.00009530205,0.02019045,0.0002552527,0.00001907576,0.0000538548,0.000221823,0.00008975223,0.01273753],"genre_scores_gemma":[0.9960032,0.00006339353,0.001405522,0.00001117261,0.000003606353,0.00001790189,0.00006973729,0.000006815415,0.002418705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2191938,"threshold_uncertainty_score":0.4358358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03367928542043957,"score_gpt":0.2798610549705166,"score_spread":0.246181769550077,"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."}}