{"id":"W2136007559","doi":"10.1109/tpwrd.2003.820419","title":"Protection of Parallel Transmission Lines Using Wavelet Transform","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Phasor; Electric power transmission; Transmission line; Fault (geology); Wavelet transform; Line (geometry); Parallel; Electronic engineering; Wavelet; Voltage; Power-system protection; Fault detection and isolation; Computer science; Topology (electrical circuits); Engineering; Electrical engineering; Mathematics; Electric power system; Physics; Power (physics); 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001194561,0.000275726,0.0002862949,0.0003716406,0.0001273493,0.00001841095,0.000116484,0.0002371143,0.00006075597],"category_scores_gemma":[9.903915e-7,0.0002831551,0.0002314589,0.0004185795,0.00004373735,0.000372547,2.942949e-7,0.000340989,0.00002989803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002746575,"about_ca_system_score_gemma":0.00004819782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002278989,"about_ca_topic_score_gemma":0.00005093939,"domain_scores_codex":[0.9986395,0.00002884985,0.0004871871,0.0002492684,0.0003035836,0.0002915826],"domain_scores_gemma":[0.9994904,0.00001735217,0.00005125379,0.0002558905,0.00008114997,0.0001039018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001622076,0.0001598884,3.946399e-7,0.0001807529,0.0001162416,0.000007635217,0.0009336543,0.6627601,0.2846558,0.000005789741,0.00001125581,0.0510063],"study_design_scores_gemma":[0.001878483,0.000408318,0.00002691833,0.0004172667,0.00009551181,0.0001232755,0.0001536493,0.0718905,0.9208158,0.0001330552,0.00355756,0.0004996309],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2235717,0.000115321,0.7739941,0.00003121419,0.001135663,0.0004554308,0.00002549158,0.0003683774,0.0003026245],"genre_scores_gemma":[0.9965563,0.0001140469,0.003113415,0.00001325692,0.00003188571,0.00005043206,0.000001524334,0.0000673852,0.00005170742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7729846,"threshold_uncertainty_score":0.999962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708962922409774,"score_gpt":0.223128925021936,"score_spread":0.2060392957978383,"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."}}