{"id":"W4388925078","doi":"10.35833/mpce.2022.000499","title":"Fault Detection for Microgrid Feeders Using Features Based on Superimposed Positive-sequence Power","year":2023,"lang":"en","type":"article","venue":"Journal of Modern Power Systems and Clean Energy","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Microgrid; Fault (geology); Scheme (mathematics); Fault detection and isolation; Synchronization (alternating current); Computer science; Power (physics); Sequence (biology); Engineering; Topology (electrical circuits); Reliability engineering; Voltage; Artificial intelligence; Mathematics; Electrical 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":[0.0002014667,0.000161642,0.0002473298,0.0002193308,0.00009859816,0.0001121752,0.00007965243,0.0001101714,0.000002146357],"category_scores_gemma":[0.0000139486,0.000139691,0.0001195733,0.0001258857,0.00001805708,0.0001423009,0.000007292738,0.0001081315,4.729071e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009599599,"about_ca_system_score_gemma":0.00002236842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004556277,"about_ca_topic_score_gemma":0.00001862518,"domain_scores_codex":[0.9991142,0.00003413795,0.0003393844,0.0001261194,0.000167659,0.0002185312],"domain_scores_gemma":[0.9995073,0.00005229753,0.0001238677,0.00009370554,0.0001344621,0.00008836837],"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":[0.0001595866,0.000014179,0.00001344064,0.0000342952,0.00007497617,0.00001890229,0.0001776219,0.8121762,0.1750143,0.00004836977,0.0003918065,0.01187622],"study_design_scores_gemma":[0.001095932,0.000318321,0.000329285,0.000172386,0.00003514566,0.0001323556,0.0003371299,0.984036,0.01128075,0.00003420434,0.002026896,0.0002016147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4637658,0.004040407,0.5292553,0.00009917839,0.002213245,0.0002080148,0.00005051788,0.0001424269,0.0002251422],"genre_scores_gemma":[0.9993175,0.0001629528,0.0002546922,0.00007254803,0.0001083767,0.000003956409,0.000005877916,0.00004331665,0.00003076217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5355517,"threshold_uncertainty_score":0.5696431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105046998196102,"score_gpt":0.2150590908792309,"score_spread":0.2045543910596207,"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."}}