{"id":"W3189719112","doi":"10.1109/icc42927.2021.9500651","title":"Fault Localization in Smart Grids Using Segmentation","year":2021,"lang":"en","type":"article","venue":"","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Grid; Fault (geology); Smart grid; Identifier; Representation (politics); Segmentation; Key (lock); Real-time computing; Artificial intelligence; Electrical engineering; Engineering; Geology","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":[0.00006327927,0.00005931715,0.00006663672,0.00007376172,0.0000170826,0.00002403288,0.00002009003,0.00004990723,0.00006290862],"category_scores_gemma":[0.00001165058,0.00006825659,0.00001469386,0.0003239993,0.000003165082,0.0001661685,0.000006960744,0.00004643072,0.00002702711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001797552,"about_ca_system_score_gemma":0.00001132498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001102656,"about_ca_topic_score_gemma":0.0004632221,"domain_scores_codex":[0.9995456,0.00002365565,0.0001563059,0.00008957345,0.00008670871,0.00009816125],"domain_scores_gemma":[0.999851,0.000007578757,0.0000100515,0.00008350086,0.0000278916,0.00001991105],"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":[0.00000328878,0.00002346198,0.01172017,0.0001398529,0.00002363061,0.00003224551,0.0006279245,0.6714578,0.3012012,0.0001205234,0.0008402648,0.01380963],"study_design_scores_gemma":[0.0001952645,0.000003593797,0.0005367279,0.00002706152,0.000003270961,0.000019642,0.0002360496,0.8299988,0.1645754,0.00002313488,0.004290756,0.00009037011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2738194,0.00008826741,0.7210249,0.000007463525,0.0008180856,0.00007125153,9.159206e-7,0.0001895983,0.003980213],"genre_scores_gemma":[0.9983761,0.000007365339,0.001366884,0.00002947669,0.00004121126,0.000005853786,0.00001477851,0.00001505155,0.0001432306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7245568,"threshold_uncertainty_score":0.2783423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282166928764808,"score_gpt":0.2432720086840942,"score_spread":0.2304503393964461,"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."}}