{"id":"W2281989131","doi":"10.1109/tpwrd.2015.2448943","title":"Improved Teager Energy Operator and Improved Chirp-Z Transform for Parameter Estimation of Voltage Flicker","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Chirp; Energy operator; Voltage; Harmonics; Flicker; Electronic engineering; Waveform; Energy (signal processing); SIGNAL (programming language); Control theory (sociology); Engineering; Mathematics; Computer science; Electrical engineering; Statistics; Physics; Artificial intelligence; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005576276,0.0005489037,0.0003368308,0.0006689805,0.0001816946,0.0004517479,0.0004110127,0.0004521389,0.001326592],"category_scores_gemma":[0.002215551,0.0001698311,0.00035232,0.0008319796,0.000320897,0.001269484,0.0004103665,0.0006005009,0.0003826002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001777423,"about_ca_system_score_gemma":0.0004203247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001056004,"about_ca_topic_score_gemma":0.00110877,"domain_scores_codex":[0.9995102,0.0001143878,0.00003076933,0.00008674929,0.0002284818,0.00002944886],"domain_scores_gemma":[0.9993497,0.000308058,0.00009142847,0.0000797851,0.0001527886,0.0000183114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005620784,0.00008840192,0.002033751,0.0002033106,0.00005551489,0.0002673728,0.0002337184,0.07269468,0.1940369,0.008670998,0.001254987,0.7198983],"study_design_scores_gemma":[0.00002857752,0.00025453,0.002959118,0.00001729939,0.00003976786,0.0005127378,0.00006530042,0.9226383,0.06751581,0.002202689,0.003714388,0.00005140733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01583317,0.0002004653,0.9831324,0.00003569975,0.00001842767,0.00001938962,0.00001939805,0.0002719451,0.0004689501],"genre_scores_gemma":[0.3929655,0.0005262872,0.6042105,0.00007577072,0.00006353005,0.00006328895,0.0001749275,0.0001007506,0.001819475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001326592,"threshold_uncertainty_score":0.004437864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01946871105850438,"score_gpt":0.2321028357841331,"score_spread":0.2126341247256288,"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."}}