{"id":"W2130082989","doi":"10.1190/1.2400625","title":"Magnetotelluric static shift: Estimation and removal using the cokriging method","year":2006,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Geoscience BC","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Variogram; Magnetotellurics; Logarithm; Geology; Electrical resistivity and conductivity; Data set; Geodesy; Statistics; Mathematics; Kriging; Mathematical analysis; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002792465,0.0001277747,0.0001518204,0.0000297294,0.0002576935,0.00008801156,0.0001062509,0.00003458725,0.00007919571],"category_scores_gemma":[0.00002725066,0.00008329818,0.00004377506,0.0004395548,0.00006771392,0.0001466531,0.00001275822,0.0001509988,0.00005654129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003244357,"about_ca_system_score_gemma":0.00002299773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005385938,"about_ca_topic_score_gemma":0.00007091636,"domain_scores_codex":[0.9989519,0.0001805431,0.0001600063,0.0002096159,0.0002090867,0.0002888267],"domain_scores_gemma":[0.9991847,0.0005338892,0.00007082194,0.0001374577,0.00001892275,0.00005417573],"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":[0.00001049366,0.00001375081,0.0007307659,0.00001801556,0.000006166731,0.0000094275,0.00008617538,0.03287955,0.0001905151,0.002028776,0.00002055793,0.9640058],"study_design_scores_gemma":[0.00009142503,0.00005057833,0.1543029,0.000005706561,0.00003153771,0.00001739494,0.00001377786,0.630444,0.0001208405,0.2141884,0.0006146922,0.0001187485],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7462951,0.0002761186,0.2518666,0.0003496728,0.0001092532,0.0001306691,0.00001060113,0.00003717176,0.0009248248],"genre_scores_gemma":[0.8429637,0.000004820612,0.1562621,0.0002127604,0.0002253533,6.365756e-7,0.00002338025,0.000004094166,0.0003031304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.963887,"threshold_uncertainty_score":0.8141962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418530354038754,"score_gpt":0.2568912737343317,"score_spread":0.2427059701939441,"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."}}