{"id":"W4242977585","doi":"10.4133/1.2923658","title":"Delineation of Water Inflow in an Underground Potash Mine with 3‐D Electrical Resistivity Imaging","year":2006,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2006","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"PotashCorp (Canada); Golder Associates (Canada); University of British Columbia","funders":"","keywords":"Potash; Inflow; Borehole; Mining engineering; Geology; Electrical resistivity and conductivity; Inversion (geology); Electrical resistivity tomography; Aquifer; Drilling; Resistive touchscreen; Groundwater; Ground-penetrating radar; Geotechnical engineering; Engineering; Structural basin; Electrical engineering; Geomorphology; Materials science; Mechanical engineering; Radar","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":[0.0001576893,0.0001169965,0.0001410026,0.00005994066,0.00003811,0.00001284283,0.00009161101,0.00002680725,0.000005935023],"category_scores_gemma":[0.00000245618,0.00007407444,0.00002047232,0.0001904062,0.00004108711,0.00008402331,0.000009963878,0.00009376248,0.000008009781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009056957,"about_ca_system_score_gemma":0.000003112829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001676606,"about_ca_topic_score_gemma":0.0000808411,"domain_scores_codex":[0.9992194,0.0000310904,0.0001963173,0.0002009578,0.0001745671,0.0001776517],"domain_scores_gemma":[0.9996568,0.0000883694,0.00004798531,0.0001546891,0.000008004082,0.00004416733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00006683674,0.0001852011,0.03328008,0.00002772896,0.000006386902,3.399512e-7,0.00004584553,0.6349161,0.2907321,0.0006295445,0.000005039334,0.04010483],"study_design_scores_gemma":[0.0002396832,0.0003668522,0.7508345,0.0000191753,0.00001362445,0.000001459357,0.000008283552,0.2219884,0.02364104,0.002507942,0.0001993388,0.000179761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849151,0.00004313824,0.01435688,0.0002909177,0.000007371006,0.0002483886,0.00001984906,0.00001134082,0.0001069959],"genre_scores_gemma":[0.998707,0.000006092513,0.001082175,0.00003234683,0.00003453395,0.00001231647,0.0000886156,0.000005390113,0.00003154458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7175544,"threshold_uncertainty_score":0.3020668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003546360149053896,"score_gpt":0.1700784957563967,"score_spread":0.1665321356073428,"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."}}