{"id":"W2790420140","doi":"10.1071/aseg2018abt4_1f","title":"Particularities of 5-component magnetotelluric soundings application for mineral exploration","year":2018,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agnico Eagle (Canada)","funders":"","keywords":"Mineral exploration; Magnetotellurics; Geology; Prospecting; Exploration geophysics; Crust; Drilling; Mantle (geology); Massif; Dike; Remote sensing; Geophysics; Mining engineering; Geochemistry; Engineering; Electrical resistivity and conductivity; 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":[0.0002451249,0.00009993069,0.0001492084,0.00004975763,0.00009812338,0.00002355795,0.0001019847,0.00005379088,0.0001332639],"category_scores_gemma":[0.000100925,0.00008165357,0.00006653197,0.0001799002,0.00009756454,0.0002100614,0.000004546059,0.00005806262,0.0001223769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000266745,"about_ca_system_score_gemma":0.00001960638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005345611,"about_ca_topic_score_gemma":0.0001570275,"domain_scores_codex":[0.9990777,0.00003462029,0.0002621258,0.0002048487,0.0001759189,0.0002447283],"domain_scores_gemma":[0.9993387,0.0002114605,0.0001236384,0.0001318057,0.0001029957,0.00009135073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001038281,0.00008914596,0.000229466,0.00003763158,0.00001202034,9.509587e-7,0.0001291956,0.0004101906,0.004419822,0.001322641,0.0002112753,0.9930338],"study_design_scores_gemma":[0.0002873638,0.0006730901,0.8723024,0.000008540537,0.00002678649,0.000002984582,0.00006446317,0.01264417,0.03754839,0.07167252,0.004609312,0.0001600208],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793035,0.00008301807,0.01869087,0.0003833029,0.0001832445,0.0003451861,0.00002968814,0.00003794752,0.0009431803],"genre_scores_gemma":[0.9895748,0.000005157289,0.009671283,0.0001138626,0.0003133471,0.00001138831,0.0001171581,0.000002976333,0.000190007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9928738,"threshold_uncertainty_score":0.3329736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02358438661081937,"score_gpt":0.260474179925634,"score_spread":0.2368897933148147,"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."}}