{"id":"W2334580461","doi":"10.1186/s40623-016-0428-y","title":"Extremely severe space weather and geomagnetically induced currents in regions with locally heterogeneous ground resistivity","year":2016,"lang":"en","type":"article","venue":"Earth Planets and Space","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geomagnetically induced current; Space weather; Electrical resistivity and conductivity; Space (punctuation); Meteorology; Geophysics; Geology; Environmental science; Physics; Geomagnetic storm; Earth's magnetic field; Computer science; Magnetic field","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002013767,0.0001866893,0.0002263765,0.001010319,0.0002237743,0.0006263646,0.0001628701,0.0002572057,0.0009896929],"category_scores_gemma":[0.001070905,0.0001171955,0.0001880519,0.000945557,0.0003876913,0.0004273126,0.0005568349,0.0001510149,0.0002079172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001624934,"about_ca_system_score_gemma":0.0001550771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003202637,"about_ca_topic_score_gemma":0.005999099,"domain_scores_codex":[0.9998628,0.00003073782,0.00001419777,0.00003222962,0.00002014333,0.00003994222],"domain_scores_gemma":[0.9995534,0.00008768236,0.0002365472,0.00003170718,0.00004029734,0.00005038883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004312501,0.00004696703,0.9535861,0.000137215,0.0001126017,0.004121377,0.001189278,0.00276084,0.01429323,0.0005008398,0.0009337272,0.02188664],"study_design_scores_gemma":[0.000009235468,0.00005347998,0.9946353,0.0000137056,0.0000368193,0.001516402,0.001036352,0.001264558,0.0004845549,0.0003645756,0.0005735615,0.00001158553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977232,0.0003187803,0.0008599384,0.00006505006,0.000008293699,0.000009422924,0.0002233648,0.00001578805,0.0007762235],"genre_scores_gemma":[0.9994028,0.00009312986,0.0001774978,0.000009717236,0.00001103887,0.000002638985,0.0001567152,0.000002707897,0.0001437749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003202637,"threshold_uncertainty_score":0.006367981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403035283433459,"score_gpt":0.1960509354762387,"score_spread":0.1820205826419041,"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."}}