{"id":"W4414495215","doi":"10.1190/geo2024-0959","title":"Three-dimensional inversion of controlled source electromagnetic data with steel casings","year":2025,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Casing; Conductivity; Inversion (geology); Enhanced Data Rates for GSM Evolution; Hydraulic conductivity; Reservoir modeling; Hydraulic fracturing; Work (physics); Smoothness","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002986279,0.0004228998,0.00021688,0.0003883914,0.0001572897,0.000406127,0.0003942914,0.0004235703,0.0007593105],"category_scores_gemma":[0.001394511,0.0001464906,0.0002281888,0.0003830291,0.00041208,0.0004475157,0.0003710056,0.0003158721,0.0001172053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000264287,"about_ca_system_score_gemma":0.0006072691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004433054,"about_ca_topic_score_gemma":0.004139398,"domain_scores_codex":[0.9999119,0.00002261744,0.000005766559,0.00001495687,0.00003578744,0.000009004004],"domain_scores_gemma":[0.9996214,0.0001964878,0.00003687846,0.00004159025,0.00008396704,0.00001963612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001908642,0.00007117254,0.003553715,0.00008986282,0.00002790314,0.0003130939,0.0001575036,0.8991282,0.06252283,0.002441109,0.0006269426,0.03087678],"study_design_scores_gemma":[0.00001813004,0.00002593491,0.0006553548,0.000003350683,0.00000329778,0.00002114069,0.00002256019,0.9887757,0.009625548,0.0003921427,0.0004473449,0.0000095298],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6114573,0.00006282438,0.3829145,0.0002038074,0.00005045698,0.00008588901,0.0003505235,0.001283712,0.003590955],"genre_scores_gemma":[0.9468347,0.00002785539,0.05225455,0.00002027171,0.000007281831,0.00002467526,0.00019126,0.00003849613,0.000600829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004433054,"threshold_uncertainty_score":0.008814514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125349831586426,"score_gpt":0.2226777746872638,"score_spread":0.2101427915286212,"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."}}