{"id":"W3143574495","doi":"10.1109/ias.2010.5616831","title":"A New Implementation Method of Wavelet Packet Transform Differential Protection for Power Transformers","year":2010,"lang":"en","type":"article","venue":"","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Inrush current; Electronic engineering; Butterworth filter; Wavelet packet decomposition; High-pass filter; Wavelet transform; Computer science; Transformer; Low-pass filter; Control theory (sociology); Filter (signal processing); Wavelet; Engineering; Electrical engineering; Artificial intelligence; Voltage","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":[0.0003631993,0.0005656446,0.0003041704,0.0005335042,0.0002007389,0.0005761656,0.0008810192,0.0005241897,0.002417274],"category_scores_gemma":[0.0007977955,0.0002579821,0.0003890086,0.0005145337,0.0003796186,0.0009646808,0.0004127527,0.0007718612,0.0009159301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002875989,"about_ca_system_score_gemma":0.0002951467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000351689,"about_ca_topic_score_gemma":0.000313877,"domain_scores_codex":[0.9996228,0.00005292496,0.00002635073,0.00007105889,0.0001987206,0.00002808267],"domain_scores_gemma":[0.9997965,0.00005179657,0.00002175683,0.00004377423,0.00007721032,0.000008963615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002612139,0.00008449257,0.0004445867,0.0004039562,0.00006353478,0.0004417331,0.0002105172,0.009703043,0.2505444,0.05181806,0.003153628,0.6828709],"study_design_scores_gemma":[0.0002182525,0.0008290779,0.001441265,0.00007420181,0.0001379237,0.003088844,0.00008998349,0.5210425,0.3420725,0.0156817,0.115251,0.00007282029],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002384346,0.00008807042,0.9963484,0.0000265482,0.0000564931,0.00002920193,0.00001027516,0.0002474256,0.0008091526],"genre_scores_gemma":[0.1696301,0.0006416134,0.8230726,0.0001252883,0.0001161843,0.000142874,0.0001420434,0.0001094298,0.006019855],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002417274,"threshold_uncertainty_score":0.008086562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00914996154193265,"score_gpt":0.2804886974052609,"score_spread":0.2713387358633282,"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."}}