{"id":"W4285167868","doi":"10.3997/2214-4609.202210708","title":"Full Waveform Inversion of Electric Conductivity with Radio-Frequency Electromagnetic Waves","year":2022,"lang":"en","type":"article","venue":"83rd EAGE Annual Conference &amp; Exhibition","topic":"Electromagnetic Effects on Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Waveform; Acoustics; Inversion (geology); Extremely low frequency; Radio frequency; Conductivity; Electromagnetic radiation; Physics; Electrical resistivity and conductivity; High frequency; Electrical engineering; Computer science; Geology; Geophysics; Electromagnetic field; Telecommunications; Optics; Engineering; Seismology; Voltage; Ionosphere","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004797882,0.000384473,0.0005086722,0.0003562953,0.000210847,0.00005831087,0.0003148475,0.0001218604,0.001666777],"category_scores_gemma":[0.00006896741,0.0003862205,0.00008801313,0.0007291503,0.0001035543,0.0004938004,0.00007317401,0.0005041264,0.00007225514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002868056,"about_ca_system_score_gemma":0.0001433885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001435104,"about_ca_topic_score_gemma":0.0001137416,"domain_scores_codex":[0.9975452,0.000297441,0.0004735204,0.0004441864,0.0005778503,0.0006617817],"domain_scores_gemma":[0.9988669,0.0001094184,0.0001822662,0.0004860589,0.0002234883,0.0001318608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002027501,0.00009976714,0.00005825948,0.0001994808,0.0000406136,0.00001557303,0.001017943,0.0003188238,0.9946282,0.000836444,0.0009554531,0.001626677],"study_design_scores_gemma":[0.004127936,0.01916367,0.003762527,0.0002518033,0.0003270392,0.0007454565,0.000585734,0.004574063,0.944064,0.01619881,0.003760186,0.002438791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945394,0.0003163571,0.001896561,0.0001205129,0.0002286407,0.000625428,0.00008892298,0.0003654858,0.001818678],"genre_scores_gemma":[0.9971594,0.0000828612,0.001776055,0.0000439227,0.00009314035,0.0001404808,0.0002895486,0.0000656717,0.0003489429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05056423,"threshold_uncertainty_score":0.999859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154398483113652,"score_gpt":0.2090222544112968,"score_spread":0.1974782695801603,"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."}}