{"id":"W4200467024","doi":"10.1190/geo2021-0199.1","title":"Forward modeling and 3D inversion of electromagnetic data collected over the McArthur River uranium deposit in the Athabasca Basin, Canada","year":2021,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Polytechnique Montréal; Memorial University of Newfoundland; University of Waterloo; Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Quaternary; Depth sounding; Structural basin; Inversion (geology); Ground-penetrating radar; Basement; Uranium; Electrical conductor; Electrical resistivity tomography; Cover (algebra); Geomorphology; Aquifer; Mineralogy; Electrical resistivity and conductivity; Geophysics; Groundwater; Geotechnical engineering; Radar; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001873991,0.0001225239,0.0001947789,0.00001774468,0.0001628974,0.00003606518,0.0004040754,0.0000394441,0.0000521383],"category_scores_gemma":[0.00008869374,0.00007303195,0.00003426025,0.0008253868,0.00005810247,0.0001155315,0.00006530254,0.0002312495,0.0000038154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005749081,"about_ca_system_score_gemma":0.0002450933,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6712542,"about_ca_topic_score_gemma":0.4895457,"domain_scores_codex":[0.9986045,0.0002887093,0.0001773408,0.0002787063,0.0003559251,0.0002947657],"domain_scores_gemma":[0.9988929,0.0005202074,0.00004910233,0.0004235246,0.00005954235,0.00005473804],"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":[0.000709367,0.0006026028,0.2190213,0.0005128743,0.0004310813,0.0004595442,0.006111548,0.02345489,0.004313792,0.001321275,0.02011959,0.7229421],"study_design_scores_gemma":[0.0002554072,0.0001070067,0.5151413,0.00001226892,0.00004978295,0.000007959191,0.00009430066,0.4799801,0.0002365996,0.003406773,0.0005857861,0.000122724],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997736,0.0005900734,0.0002587681,0.0006602944,0.00007526598,0.0001334675,0.00008584963,0.000005303716,0.000454996],"genre_scores_gemma":[0.9979907,0.00008393761,0.0007570201,0.0009195938,0.00006503362,8.804059e-7,0.0001194126,0.000002802134,0.00006062056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7228194,"threshold_uncertainty_score":0.5197688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433452025368633,"score_gpt":0.2058552595773128,"score_spread":0.1915207393236265,"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."}}