{"id":"W2139713739","doi":"10.1109/pes.2006.1708982","title":"An on-line measurement of symmetrical components utilizing the energy operator","year":2006,"lang":"en","type":"article","venue":"2006 IEEE Power Engineering Society General Meeting","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Operator (biology); Energy operator; Energy (signal processing); Measure (data warehouse); Simple (philosophy); Line (geometry); Computer science; Amplitude; Algorithm; Power (physics); Mathematics; Optics; Physics; Geometry; Data mining","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000956807,0.0003483673,0.0003479384,0.00007583982,0.0001409892,0.0000653738,0.0003789774,0.0001624134,0.000009100099],"category_scores_gemma":[0.00003389276,0.0003061302,0.0002660223,0.0004376147,0.00004149213,0.0001163612,0.00003031365,0.0003421795,0.000005395641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002238034,"about_ca_system_score_gemma":0.00002334249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000201734,"about_ca_topic_score_gemma":0.000008347919,"domain_scores_codex":[0.9978064,0.00006165013,0.0005823399,0.00028663,0.0006960494,0.0005669205],"domain_scores_gemma":[0.9991807,0.00009919022,0.00006752619,0.0004150218,0.0001235841,0.0001139172],"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":[0.000003690507,0.00007777476,0.00006112338,0.00004483955,0.00007710817,0.000001594051,0.000143525,0.7032025,0.2919776,0.001692204,0.002562352,0.0001555817],"study_design_scores_gemma":[0.0004078205,0.00007166686,0.0005367901,0.000109115,0.00003273732,0.000003617037,0.000076724,0.7699117,0.2216909,0.0000186387,0.006721351,0.0004189179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9232595,0.002538066,0.0690678,0.0001277153,0.001935227,0.0002116654,0.00005597389,0.0007374774,0.002066572],"genre_scores_gemma":[0.994616,0.00006599705,0.004551969,0.0001470119,0.0004679358,0.00002043825,0.00001715963,0.00008824672,0.00002527162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07135647,"threshold_uncertainty_score":0.9999391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03308735031955894,"score_gpt":0.2378904705184469,"score_spread":0.204803120198888,"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."}}