{"id":"W2580642199","doi":"10.1002/2016sw001501","title":"Geomagnetically induced currents: Science, engineering, and applications readiness","year":2017,"lang":"en","type":"article","venue":"Space Weather","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":255,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"University of Cape Town; Sight Research UK; Natural Environment Research Council; U.S. Department of Energy; Electric Power Research Institute; National Aeronautics and Space Administration; Macalester College; Federal Emergency Management Agency; U.S. Department of Homeland Security","keywords":"Deliverable; Geomagnetically induced current; Context (archaeology); Work (physics); Space Science; Systems engineering; Government (linguistics); Engineering; Computer science; Aerospace engineering; Physics; Mechanical engineering; Earth's magnetic field; Geology","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":[0.002287801,0.000423945,0.000275272,0.00181971,0.0004383299,0.004169979,0.0004914611,0.0008068394,0.002190235],"category_scores_gemma":[0.005699113,0.0001624095,0.0002150158,0.00191326,0.001232822,0.003149561,0.001643747,0.0009060208,0.0005697547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186871,"about_ca_system_score_gemma":0.001585198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002023573,"about_ca_topic_score_gemma":0.002070491,"domain_scores_codex":[0.9988654,0.0002662444,0.00006303489,0.0001087553,0.0005299358,0.0001667935],"domain_scores_gemma":[0.9948095,0.001058375,0.001074675,0.0002934884,0.002353758,0.0004102123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002590769,0.0002341119,0.1358166,0.001491159,0.0001359639,0.0003511801,0.001525889,0.03708363,0.02938383,0.3825767,0.02285915,0.3882827],"study_design_scores_gemma":[0.00002627777,0.00125117,0.2135839,0.001304283,0.0001740416,0.0009813558,0.007433773,0.09085002,0.03353073,0.2860254,0.3645707,0.0002683416],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5661299,0.02340382,0.1443416,0.02309997,0.0007853786,0.0005946882,0.001710826,0.001510415,0.2384234],"genre_scores_gemma":[0.9836345,0.003786338,0.008574835,0.0002829436,0.0001726231,0.00004569258,0.0004429346,0.00003693522,0.003023229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004169979,"threshold_uncertainty_score":0.01209921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005551981019376758,"score_gpt":0.2390154082010356,"score_spread":0.2334634271816588,"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."}}