{"id":"W4405022712","doi":"10.1109/access.2024.3510672","title":"Data-Driven Fault Recovery With Software-Defined Smart Transmission Grids","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Software; Transmission (telecommunications); Fault (geology); Smart grid; Embedded system; Operating system; Telecommunications; Electrical engineering; Geology; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001444059,0.0002157835,0.0002056066,0.0001737434,0.00005591576,0.000333494,0.0006053626,0.0001231611,0.00005574774],"category_scores_gemma":[0.00001279614,0.0001785729,0.00004447334,0.0004420691,0.00001841179,0.001466506,0.00004106578,0.0002612642,0.0001636529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001001145,"about_ca_system_score_gemma":0.00004443199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000115177,"about_ca_topic_score_gemma":0.0001405741,"domain_scores_codex":[0.9987933,0.00002704218,0.0002486393,0.0003973333,0.0002608449,0.000272844],"domain_scores_gemma":[0.9991512,0.00008252692,0.0000201296,0.0006232352,0.00002775592,0.00009509357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001957152,0.00006786609,0.001255996,0.003105362,0.0008010883,0.0005400152,0.0006074102,0.1083782,0.02246766,0.00002035132,0.1772862,0.6852741],"study_design_scores_gemma":[0.0004697482,0.0001184796,0.0006669596,0.0009035026,0.000109229,0.0001529383,0.00001365973,0.2374652,0.01600559,0.0001043583,0.7433395,0.0006507821],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09808484,0.001124801,0.889707,0.0000707818,0.005662819,0.0003284258,0.0001955804,0.002941383,0.0018844],"genre_scores_gemma":[0.997224,0.0001096929,0.001500296,0.00003170299,0.0004139301,0.00004911784,0.0001035168,0.0001165128,0.0004511889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8991392,"threshold_uncertainty_score":0.7281989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731517258152408,"score_gpt":0.2770075403953817,"score_spread":0.2496923678138576,"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."}}