{"id":"W2315689429","doi":"10.4133/sageep2013-070.1","title":"MAPPING LATERAL CHANGES IN CONDUCTANCE OF A THIN SHEET BY INVERTING TIME DOMAIN INDUCTIVE ELECTROMAGNETIC DATA","year":2013,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2013","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Conductance; Inversion (geology); Inductive method; Time domain; Geology; Electromagnetic field; Transmitter; Geometry; Mechanics; Mathematical analysis; Computer science; Physics; Mathematics; Telecommunications; Channel (broadcasting); Condensed matter physics","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":[0.0001951357,0.000471257,0.0003055213,0.0006255762,0.0001738822,0.000734252,0.0004511754,0.0003293056,0.001227369],"category_scores_gemma":[0.0009499781,0.0003360044,0.0004214213,0.0006431426,0.0003617664,0.0007170475,0.0003463191,0.0003528871,0.0003558726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000350273,"about_ca_system_score_gemma":0.0004702205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004021636,"about_ca_topic_score_gemma":0.006813086,"domain_scores_codex":[0.9999191,0.00001148447,0.000004430565,0.00002440984,0.0000291342,0.00001153571],"domain_scores_gemma":[0.9997672,0.00007587468,0.00003630771,0.00005415129,0.00005470581,0.00001168975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001903321,0.0001442616,0.02901449,0.000216927,0.00009275725,0.0004376418,0.0004873267,0.4544536,0.4191591,0.002221561,0.0008328178,0.09274919],"study_design_scores_gemma":[0.00001218578,0.00007940849,0.0178035,0.00001746264,0.00004050157,0.0002192551,0.0001783526,0.931003,0.04649142,0.002922188,0.001183596,0.0000491327],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6755127,0.00006218759,0.3187169,0.00009587328,0.00001861602,0.0000500801,0.000574887,0.001233645,0.003735131],"genre_scores_gemma":[0.9343053,0.0001115541,0.06393763,0.00003320076,0.000004838038,0.00002887257,0.0004573705,0.00009298385,0.00102829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004021636,"threshold_uncertainty_score":0.0079965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005221475767089658,"score_gpt":0.167798827164219,"score_spread":0.1625773513971293,"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."}}