{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000703181,0.0001059595,0.00009207773,0.00001835317,0.0003209108,0.0002018613,0.0002779653,0.00002498059,0.0002823708],"category_scores_gemma":[0.000009371359,0.00009734809,0.00002407081,0.0000618721,0.0001484326,0.00019226,0.0001139752,0.00008924305,0.00005812316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008790878,"about_ca_system_score_gemma":0.0000473358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001464517,"about_ca_topic_score_gemma":0.000006761689,"domain_scores_codex":[0.9993994,0.000002667804,0.00007297081,0.0002146047,0.00009649518,0.0002139223],"domain_scores_gemma":[0.9993436,0.00000922137,0.00005465176,0.0004390914,0.0000587437,0.00009470911],"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":[0.000003907231,0.0001025856,0.03858182,0.00001004035,0.00002155633,5.846504e-7,0.0001204442,0.00002618148,0.01053029,0.8663551,0.0003950571,0.0838525],"study_design_scores_gemma":[0.002391426,0.0002575819,0.2174213,0.00009390301,0.0001332468,0.000005015582,0.0005749931,0.01654975,0.004044219,0.01973072,0.7372163,0.00158159],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8003151,0.00006180604,0.01581995,0.0004486054,0.0003466427,0.000391353,0.00001623274,0.0000622812,0.182538],"genre_scores_gemma":[0.9949707,0.000002798297,0.00111654,0.000009484018,0.0002637104,0.00005490508,0.000003275154,0.00001530109,0.003563259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8466243,"threshold_uncertainty_score":0.396974,"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."}}