{"id":"W4408428667","doi":"10.5194/egusphere-egu25-13703","title":"Constructing piecewise-constant conductivity models for the McArthur River, Canada, uranium mine audio-magnetotelluric data-set","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Magnetotellurics; Piecewise; Geology; Constant (computer programming); Uranium; Data set; Set (abstract data type); Audio frequency; Electrical resistivity and conductivity; Mathematics; Statistics; Telecommunications; Computer science; Electrical engineering; Engineering; Materials science; Mathematical analysis; Metallurgy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006281057,0.0007665039,0.0004232377,0.001694395,0.0009439214,0.0009179744,0.001937041,0.0009983843,0.0009003271],"category_scores_gemma":[0.003276813,0.0004261758,0.001034842,0.001650796,0.0007720234,0.0005458497,0.0006485967,0.001296865,0.000419359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005381162,"about_ca_system_score_gemma":0.004777646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7034218,"about_ca_topic_score_gemma":0.7188939,"domain_scores_codex":[0.9997235,0.00003419588,0.00001642853,0.00008444607,0.00007714616,0.00006431821],"domain_scores_gemma":[0.999084,0.000280493,0.00005519338,0.0001016955,0.0004226018,0.00005606907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009073413,0.0000911939,0.01105817,0.00007825785,0.00003773699,0.0001221947,0.0002076652,0.9466024,0.002434197,0.0009288849,0.002763456,0.03558499],"study_design_scores_gemma":[0.000009920746,0.00001188041,0.005453872,0.000008802313,0.000007290849,0.00002004424,0.0001017356,0.9918181,0.001142922,0.0003034965,0.001099337,0.00002261008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8964883,0.00030929,0.08494764,0.0004664763,0.00004103388,0.000211902,0.01232005,0.002755894,0.002459361],"genre_scores_gemma":[0.9088458,0.0001907383,0.06718013,0.00007443051,0.000008210402,0.0001369945,0.02143704,0.0001670954,0.001959461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2965782,"threshold_uncertainty_score":0.5966495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07104284448234867,"score_gpt":0.2717377560506135,"score_spread":0.2006949115682649,"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."}}