{"id":"W3021612057","doi":"","title":"Estimation of geomagnetically induced current levels from different input data","year":2006,"lang":"en","type":"article","venue":"cosp","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"","keywords":"Earth's magnetic field; Geomagnetically induced current; Current (fluid); Mathematics; Magnetic field; Statistics; Geodesy; Geophysics; Geology; Physics; Geomagnetic storm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001034294,0.0004310916,0.0004867933,0.0008782687,0.0002359666,0.000874384,0.0007280799,0.0008427885,0.0007744945],"category_scores_gemma":[0.008221326,0.0002787061,0.0002772366,0.0007431913,0.0004218445,0.0007966293,0.0005787489,0.0005882097,0.0003309282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005557853,"about_ca_system_score_gemma":0.0004793653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001035968,"about_ca_topic_score_gemma":0.001461713,"domain_scores_codex":[0.9995213,0.0001546918,0.00004228333,0.00008131025,0.0001705277,0.00002990273],"domain_scores_gemma":[0.9984635,0.0008749856,0.0001616153,0.0002045459,0.0002681149,0.0000271481],"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":[0.0008725892,0.0001604121,0.02352054,0.0009776837,0.0001604058,0.0002346529,0.0004152087,0.2240888,0.09643994,0.02394285,0.00164416,0.6275427],"study_design_scores_gemma":[0.00003376209,0.00007315885,0.01531009,0.00004426573,0.00003468491,0.000157628,0.0000327166,0.9342092,0.03996476,0.008047389,0.002048252,0.00004407516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04852726,0.0001650672,0.9494379,0.00007012368,0.00001424266,0.00006839613,0.0002286493,0.0004939361,0.0009944686],"genre_scores_gemma":[0.4926637,0.0001857817,0.5055369,0.00003868263,0.00002460624,0.0001280185,0.0008701804,0.00005360466,0.0004985229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001035968,"threshold_uncertainty_score":0.005469918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06208046925799099,"score_gpt":0.2869676967303414,"score_spread":0.2248872274723505,"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."}}