{"id":"W2027160349","doi":"10.1186/bf03352040","title":"Determination of ground conductivity and system parameters for optimal modeling of geomagnetically induced current flow in technological systems","year":2007,"lang":"en","type":"article","venue":"Earth Planets and Space","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"Gasum","keywords":"Geomagnetically induced current; Magnetotellurics; Geophysics; Inversion (geology); Geology; Conductivity; Magnetic field; Electrical resistivity and conductivity; Current (fluid); Meteorology; Remote sensing; Earth's magnetic field; Geomagnetic storm; Physics; Seismology; Engineering; Electrical engineering","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":[0.0006582203,0.00009625131,0.0002731631,0.00008864173,0.00003410858,0.00001574579,0.00005038087,0.00009851366,0.000002710368],"category_scores_gemma":[0.0001195372,0.00007167923,0.0000188202,0.0001513361,0.00007857732,0.00006086363,0.000008257061,0.0001226421,4.615766e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001547127,"about_ca_system_score_gemma":0.00001206377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009360154,"about_ca_topic_score_gemma":0.0002422702,"domain_scores_codex":[0.9991577,0.00006764734,0.0002393741,0.0001944136,0.0001284075,0.0002124822],"domain_scores_gemma":[0.999245,0.0005005097,0.00007568922,0.00006466312,0.00003976906,0.00007438687],"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":[0.0003759316,0.00007300185,0.01625079,0.0006602515,0.00001090873,0.00001077541,0.0001737484,0.0205445,0.001443013,0.001779754,0.000001140471,0.9586762],"study_design_scores_gemma":[0.0003445075,0.0006342192,0.09556904,0.00005962922,0.0000107221,0.00001365647,0.0001587222,0.9025627,0.0003055879,0.0002199396,0.00002409626,0.00009717171],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695618,0.0006439568,0.02929655,0.00002409034,0.00007550255,0.0002821135,0.00003266805,0.00001162026,0.00007166893],"genre_scores_gemma":[0.981769,0.00001981747,0.01817469,0.000001965962,0.00001480365,0.000001293418,0.0000131347,0.000001411074,0.000003875241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.958579,"threshold_uncertainty_score":0.2922994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03554915690595119,"score_gpt":0.2570086767404418,"score_spread":0.2214595198344906,"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."}}