{"id":"W2148919326","doi":"10.1109/tpwrd.2003.822531","title":"Transmission Line Distance Protection Based on Wavelet Transform","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":175,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Transmission line; Electrical impedance; Electric power transmission; Electronic engineering; Wavelet transform; Phasor; Multiresolution analysis; Line (geometry); Engineering; Relay; Protective relay; Voltage; Wavelet; Digital protective relay; Power-system protection; Electrical engineering; Computer science; Discrete wavelet transform; Electric power system; Mathematics; 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":[0.0001467738,0.0003858748,0.0002691242,0.0003906899,0.0002252253,0.00004493844,0.0001491945,0.0002654248,0.0001308052],"category_scores_gemma":[0.000001558499,0.0003893533,0.0002485965,0.0005043932,0.00003971368,0.0003156089,1.904139e-7,0.0006182374,0.0002072234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006156169,"about_ca_system_score_gemma":0.00005050102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006515945,"about_ca_topic_score_gemma":0.00007483579,"domain_scores_codex":[0.9982852,0.00003920481,0.0004190573,0.0004027088,0.0004487594,0.0004050102],"domain_scores_gemma":[0.9992921,0.00003430563,0.00003738219,0.0004033053,0.0000604918,0.0001724571],"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":[0.000468802,0.000357092,1.850599e-7,0.0001431826,0.00006341781,0.00002602289,0.0004301589,0.8116779,0.02892701,0.00001083957,0.00007315043,0.1578222],"study_design_scores_gemma":[0.003462811,0.00136147,0.0000273384,0.0006499524,0.00006958764,0.00004422982,0.00006515886,0.2283854,0.7147712,0.0001109207,0.05018364,0.0008683541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01734143,0.00005906607,0.9762774,0.0002473989,0.002041541,0.0007817264,0.00007516233,0.001152299,0.002024004],"genre_scores_gemma":[0.9986207,0.00005193595,0.0006636594,0.0001140379,0.00004763064,0.0002026161,0.000005521061,0.0001005988,0.000193286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9812793,"threshold_uncertainty_score":0.9998558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009070513929418341,"score_gpt":0.201695235819494,"score_spread":0.1926247218900757,"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."}}