{"id":"W2171314174","doi":"10.1109/pess.2001.969995","title":"Wavelet transform approach to distance protection of transmission lines","year":2001,"lang":"en","type":"article","venue":"","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Wavelet transform; Wavelet; Electric power transmission; Fault (geology); Computer science; Discrete wavelet transform; Electronic engineering; Electrical impedance; Phasor; Filter (signal processing); Lifting scheme; Transmission (telecommunications); Electric power system; Wavelet packet decomposition; Protective relay; Power (physics); Engineering; Electrical engineering; Telecommunications; Artificial intelligence; Computer vision; Physics","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":[0.0002024174,0.0003562385,0.0002972913,0.0004225425,0.0001442486,0.0004939559,0.0002828478,0.0004294626,0.001673169],"category_scores_gemma":[0.0006131176,0.0001517159,0.0003305158,0.0005899607,0.0002968407,0.0006358975,0.0002596977,0.0007030164,0.0004849674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002097676,"about_ca_system_score_gemma":0.0001993072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005246204,"about_ca_topic_score_gemma":0.0003441886,"domain_scores_codex":[0.999895,0.00002652087,0.000006087867,0.00001558555,0.0000481671,0.000008617047],"domain_scores_gemma":[0.9998995,0.00004575027,0.000009917637,0.00001158424,0.00002842135,0.000004941953],"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":[0.0001360471,0.00006723911,0.0004743446,0.0003053209,0.00006999099,0.0003815785,0.000151728,0.3046145,0.05817237,0.2128466,0.002286978,0.4204933],"study_design_scores_gemma":[0.00002493892,0.0001365517,0.0004875621,0.0000266635,0.00002051192,0.0002990435,0.00003349363,0.9144822,0.008913965,0.06004366,0.01551143,0.00002013119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007509019,0.001083142,0.9883471,0.0001443469,0.00006599437,0.00001082525,0.00002211686,0.00008470364,0.002732726],"genre_scores_gemma":[0.3662342,0.008577119,0.6137279,0.0001303924,0.0003707588,0.00008127145,0.0002200957,0.00009483671,0.01056345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001673169,"threshold_uncertainty_score":0.005597293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261597689568226,"score_gpt":0.2104339687846719,"score_spread":0.1978179918889896,"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."}}