{"id":"W4312258232","doi":"10.1109/pesgm48719.2022.9917149","title":"Relay Protection Coordination Analysis using Fault Current Measurements: A Case Study of Hydro Quebec Distribution Network","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power & Energy Society General Meeting (PESGM)","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Relay; Tripping; Protective relay; Digital protective relay; Power-system protection; Computer science; Network analysis; Work (physics); Fault (geology); Overcurrent; Telecommunications; Reliability engineering; Computer network; Circuit breaker; Current (fluid); Electrical engineering; Engineering; Electric power system","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":[0.0004881427,0.0005949065,0.0003353684,0.001123498,0.0009182933,0.0008719529,0.000979612,0.0009607766,0.001313775],"category_scores_gemma":[0.001641295,0.0001861347,0.0002436613,0.00147367,0.0006800153,0.0003743891,0.0003705726,0.0005082599,0.0001247096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008124924,"about_ca_system_score_gemma":0.002397544,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.779095,"about_ca_topic_score_gemma":0.8397749,"domain_scores_codex":[0.9995381,0.00009382986,0.00001703373,0.00008198171,0.000185383,0.00008371467],"domain_scores_gemma":[0.9984617,0.0006518261,0.0001584129,0.00008197907,0.0005560103,0.00009006062],"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":[0.0007272905,0.000826065,0.1827309,0.0003834046,0.0002447142,0.01429297,0.002827649,0.7053207,0.01719266,0.005341412,0.006895307,0.06321691],"study_design_scores_gemma":[0.0001191985,0.0004850021,0.2368012,0.00005469412,0.00008945569,0.0008310699,0.004867954,0.7462738,0.00560254,0.0006577917,0.004122348,0.00009483864],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901056,0.000076072,0.003771039,0.0001813613,0.000005828747,0.0001448337,0.0008225858,0.00006958691,0.004823162],"genre_scores_gemma":[0.9944869,0.00005636292,0.002929173,0.00002096275,0.000002710014,0.00002461152,0.0003022991,0.000008000116,0.002169048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.220905,"threshold_uncertainty_score":0.4444119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03622846707258887,"score_gpt":0.2702236948094301,"score_spread":0.2339952277368412,"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."}}