{"id":"W2982322306","doi":"10.4236/ijg.2019.1010053","title":"Numerical Calculation of Geoelectric Fields That Affect Critical Infrastructure","year":2019,"lang":"en","type":"article","venue":"International Journal of Geosciences","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Earth's magnetic field; Geophysics; Geology; Field (mathematics); Geomagnetically induced current; Magnetic field; Geomagnetic storm; Mathematics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002392845,0.0003425719,0.0003060849,0.0003463325,0.0003477893,0.0005758099,0.0004455371,0.0006339644,0.00240441],"category_scores_gemma":[0.001766911,0.0001981443,0.0002223411,0.000486289,0.0004322877,0.0003755406,0.0004782676,0.0003964705,0.0002490339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000463964,"about_ca_system_score_gemma":0.0007439372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007599095,"about_ca_topic_score_gemma":0.004611075,"domain_scores_codex":[0.9999129,0.00002411491,0.000005150819,0.00001130133,0.00003191916,0.00001467206],"domain_scores_gemma":[0.9995971,0.0002349899,0.00005093464,0.00002306203,0.00007468465,0.00001924442],"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":[0.00001487925,0.000009990409,0.0007419238,0.00003305019,0.000004957525,0.00006003279,0.00003419975,0.9867078,0.001570586,0.004673527,0.0003040398,0.00584499],"study_design_scores_gemma":[0.00000517987,0.000006626722,0.0001539585,0.000004715921,0.000001860495,0.00001484782,0.00001414117,0.9974437,0.0004160504,0.001347623,0.000589337,0.000002014595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2261347,0.0004873193,0.7245744,0.0005872184,0.0001645785,0.0001188633,0.000367399,0.0008084778,0.04675709],"genre_scores_gemma":[0.9327369,0.0002616287,0.06173895,0.00004020866,0.0000227471,0.00007788841,0.0001185864,0.00006431334,0.004938744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007599095,"threshold_uncertainty_score":0.01510972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108939842624696,"score_gpt":0.2818573251050591,"score_spread":0.2707679266788121,"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."}}