{"id":"W2105456799","doi":"10.1109/tpwrd.2006.874106","title":"A Simple Energy Operator Computational Method for Voltage Flicker Assessment","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Envelope (radar); Waveform; Energy (signal processing); Voltage; Energy operator; Flicker; Operator (biology); Computer science; Algorithm; SIGNAL (programming language); Electronic engineering; Control theory (sociology); Engineering; Mathematics; Electrical engineering; Telecommunications; Artificial intelligence","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":[0.0001558253,0.000194518,0.0001955895,0.0001318146,0.0001711478,0.0000583527,0.0001137032,0.0001105388,0.0002577254],"category_scores_gemma":[7.619754e-7,0.0002144273,0.0001741259,0.0001456462,0.00002257999,0.0001755469,8.30993e-7,0.0001654649,0.00002594106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001491107,"about_ca_system_score_gemma":0.00005891666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001319102,"about_ca_topic_score_gemma":0.0000953587,"domain_scores_codex":[0.9989694,0.00003470267,0.0002948171,0.0002248813,0.000202189,0.0002740573],"domain_scores_gemma":[0.9994236,0.0002138129,0.00002356499,0.0001785325,0.00008631024,0.00007421776],"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":[0.00002829211,0.0001961475,0.000002338103,0.00002657231,0.0001196241,0.000004473516,0.00008824903,0.9769698,0.005757727,0.003525933,0.009791572,0.00348928],"study_design_scores_gemma":[0.001203502,0.0001317557,0.0001922066,0.00001663331,0.00007512551,0.000009301885,0.00006843426,0.8495697,0.0251909,0.002644806,0.1204136,0.0004840425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007083011,0.00007810093,0.9901336,0.00005873549,0.0006603838,0.0001554331,0.0004472943,0.0002885766,0.001094854],"genre_scores_gemma":[0.9652993,0.00001893158,0.03350206,0.0004687511,0.0000476808,0.0001163466,0.00005763218,0.00004973535,0.0004395785],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9582162,"threshold_uncertainty_score":0.8744091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01483570379588695,"score_gpt":0.2716196576669714,"score_spread":0.2567839538710845,"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."}}