{"id":"W2564808782","doi":"10.1002/2016sw001499","title":"Modeling geomagnetically induced currents","year":2016,"lang":"en","type":"article","venue":"Space Weather","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":151,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geomagnetically induced current; Earth's magnetic field; Space weather; Electric power system; Geomagnetic storm; Physics; Magnetic field; Geophysics; Computer science; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001053488,0.00008334704,0.00008866683,0.00006211174,0.00006484282,0.00002784322,0.00009266656,0.00004596832,0.01289972],"category_scores_gemma":[0.00004252443,0.00004851679,0.00006332088,0.0001325226,0.00002040416,0.00009759029,0.000004934388,0.00005432385,0.002911327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001767588,"about_ca_system_score_gemma":0.00001381235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004998105,"about_ca_topic_score_gemma":0.001393841,"domain_scores_codex":[0.9993223,0.00003449317,0.00009537478,0.0001809436,0.0001650886,0.0002017943],"domain_scores_gemma":[0.9996722,0.00003343451,0.00001768502,0.0001447279,0.00002590231,0.0001059975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003613685,0.00002867147,0.2545504,0.000005281417,0.00004956123,0.00001000727,0.0001566559,0.00223019,0.006393126,0.0002152045,0.0003357743,0.735989],"study_design_scores_gemma":[0.002609307,0.0007384549,0.3538725,0.0001753982,0.0001359101,0.00002944405,0.0005150355,0.5942332,0.003159583,0.004870535,0.03819071,0.001469987],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829611,0.0001022699,0.004135495,0.001137533,0.0002100747,0.00003803609,0.000009357159,0.0000605481,0.01134554],"genre_scores_gemma":[0.9963122,0.0000306877,0.0002299309,0.00008758822,0.00009405282,3.943999e-7,0.00000211593,0.000003079513,0.003239927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.734519,"threshold_uncertainty_score":0.997865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0175048929229122,"score_gpt":0.2154246618052448,"score_spread":0.1979197688823326,"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."}}