{"id":"W2977098242","doi":"10.18280/jesa.520302","title":"A Novel Automatic Detection Model for Single Line-to-ground Fault","year":2019,"lang":"fr","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Southern Power Grid","keywords":"Line (geometry); Computer science; Fault (geology); Fault detection and isolation; Geology; Artificial intelligence; Seismology; Mathematics; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001325384,0.0008420777,0.00109156,0.0008397411,0.0004790071,0.001027209,0.0005941128,0.0005434621,0.0001359101],"category_scores_gemma":[0.0004963051,0.0009128963,0.0005925689,0.0009329867,0.00007523614,0.001473627,0.0001192245,0.0008735589,0.001722529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003233718,"about_ca_system_score_gemma":0.0001960236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002042562,"about_ca_topic_score_gemma":0.0001613908,"domain_scores_codex":[0.9949435,0.0002380201,0.001922661,0.0006490505,0.0008623786,0.001384416],"domain_scores_gemma":[0.9969401,0.0003307098,0.000736432,0.0007139242,0.0006037164,0.0006751648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004226397,0.0001941162,0.00002236474,0.002973955,0.0003899279,0.00002688013,0.002522735,0.3033918,0.2564454,0.0001670585,0.001034244,0.4327893],"study_design_scores_gemma":[0.001841726,0.001087193,0.001852194,0.002939723,0.0002660813,0.006654583,0.0002394693,0.9643245,0.005856417,0.0009680988,0.01302988,0.0009400808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2532122,0.002533601,0.7282723,0.000286219,0.011777,0.001640872,0.0001071053,0.0008788067,0.001291887],"genre_scores_gemma":[0.9098542,0.00005453879,0.07378685,0.0001065422,0.00143212,0.0001177522,0.000005911727,0.0004175967,0.01422448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6609328,"threshold_uncertainty_score":0.9993322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02684746275095104,"score_gpt":0.257738464020913,"score_spread":0.230891001269962,"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."}}