{"id":"W1895980072","doi":"10.1109/lescpe.2002.1020666","title":"Transient model of power transformer using wavelet filter bank","year":2003,"lang":"en","type":"article","venue":"","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Inrush current; Wavelet; Filter bank; Electronic engineering; Transformer; Delta-wye transformer; Wavelet transform; Control theory (sociology); Distribution transformer; Computer science; Acoustics; Engineering; Filter (signal processing); Physics; Electrical engineering; Voltage; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001111675,0.0000672917,0.00009762184,0.00001760341,0.00004538696,0.00001197648,0.00008656039,0.00002833412,0.008240851],"category_scores_gemma":[0.000003979746,0.00004772053,0.00004135834,0.00005206099,0.0000527453,0.00005808054,0.000003321369,0.00002420067,0.00002852144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007515026,"about_ca_system_score_gemma":0.00003650533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003751874,"about_ca_topic_score_gemma":0.000004255232,"domain_scores_codex":[0.9993997,0.0000129063,0.0001850576,0.000132728,0.0001154724,0.0001541677],"domain_scores_gemma":[0.9997263,0.000006566151,0.00002153806,0.000169091,0.00003583587,0.00004069874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004220265,0.00004236891,0.00000144169,0.000008659777,0.000001118001,6.484552e-8,0.0002718534,0.0012141,0.9820845,0.01594527,0.0002227616,0.0002036745],"study_design_scores_gemma":[0.0001985156,0.00003445353,0.00001440199,0.0000062815,0.00001084137,0.000002944567,0.00008883059,0.03122084,0.9631428,0.0009770016,0.00419744,0.0001056937],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7793067,0.000030196,0.1585065,0.0001649823,0.00003576114,0.0001405758,0.0000170351,0.00001622026,0.06178209],"genre_scores_gemma":[0.9643636,0.000004641266,0.03407794,0.0001859911,0.000002512344,0.000009511392,5.441862e-7,0.000006611172,0.001348662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1850569,"threshold_uncertainty_score":0.9926658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03822163405183523,"score_gpt":0.2398112564301949,"score_spread":0.2015896223783597,"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."}}