{"id":"W2956634256","doi":"10.18280/ejee.210216","title":"Numerical Simulation and Anomalies Qualification Based on Ground-well Transient Electromagnetics Method","year":2019,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electromagnetics; Transient (computer programming); Geology; Geophysics; Computer science; Engineering; Electronic engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000360036,0.0005197409,0.0005865551,0.0006190776,0.0004895388,0.0007348753,0.0007648183,0.0009593652,0.003150061],"category_scores_gemma":[0.001003101,0.0002721505,0.0007336491,0.0005768734,0.0005327407,0.0007656143,0.0005829055,0.0006166576,0.00048658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005267913,"about_ca_system_score_gemma":0.0007632559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007220099,"about_ca_topic_score_gemma":0.003131408,"domain_scores_codex":[0.9997736,0.00006097962,0.00001291401,0.00003394765,0.00009115437,0.00002742628],"domain_scores_gemma":[0.9997012,0.0001203201,0.0000322514,0.00002771966,0.0001026017,0.00001582943],"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":[0.00002556645,0.00002600924,0.001093804,0.00007154652,0.00001334222,0.00009370824,0.00008453539,0.9661468,0.004569119,0.01474392,0.0005007126,0.01263092],"study_design_scores_gemma":[0.000002396178,0.000004648733,0.00004900518,0.00000330988,0.00000135114,0.000007504932,0.000006974802,0.9985739,0.0002969381,0.000587223,0.0004642497,0.000002539211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02911406,0.0002621782,0.9543892,0.0001956289,0.00009203811,0.00007931631,0.0001458636,0.0006603333,0.01506141],"genre_scores_gemma":[0.7365504,0.000645762,0.2518017,0.00009415932,0.0000563297,0.0004337287,0.0003456795,0.0001885939,0.009883499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007220099,"threshold_uncertainty_score":0.01435614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006681327720256006,"score_gpt":0.2062672989879305,"score_spread":0.1995859712676745,"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."}}