{"id":"W2104826762","doi":"10.1109/mwscas.2003.1562484","title":"ANN-based technique for fault location estimation using TLS-ESPRIT","year":2006,"lang":"en","type":"article","venue":"","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fault (geology); Waveform; Transient (computer programming); SIGNAL (programming language); Modal; Artificial neural network; Computer science; Engineering; Amplitude; Algorithm; Control theory (sociology); Electronic engineering; Voltage; Artificial intelligence; Electrical engineering; 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":[0.0005782529,0.0007952455,0.0004842881,0.0006962031,0.0002380246,0.0004759833,0.000631644,0.0007773848,0.002068918],"category_scores_gemma":[0.001544749,0.0003491912,0.0004281384,0.000556473,0.0001990066,0.0006817878,0.00034972,0.0007579633,0.0008239732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002557564,"about_ca_system_score_gemma":0.0002783142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00181957,"about_ca_topic_score_gemma":0.002063497,"domain_scores_codex":[0.9997621,0.000058519,0.00002341759,0.00005649716,0.00008224311,0.00001726932],"domain_scores_gemma":[0.9995401,0.0002109319,0.00005959334,0.00003898399,0.0001427746,0.000007636507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001371199,0.00007460971,0.0008608504,0.000190289,0.0001297396,0.000166851,0.00006119658,0.4900927,0.0237961,0.003977301,0.001770513,0.4787427],"study_design_scores_gemma":[0.000004528783,0.00001869279,0.000214053,0.000008171291,0.000009212798,0.00003193469,0.000003932739,0.9962898,0.002236222,0.0005459883,0.0006328745,0.000004704153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004798397,0.000126136,0.9930221,0.00004355112,0.00002425306,0.00002160173,0.00002443773,0.0009336633,0.001005876],"genre_scores_gemma":[0.331941,0.0003572154,0.6628124,0.0001113426,0.00005281482,0.0002006487,0.0002741162,0.00009849734,0.004152043],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002068918,"threshold_uncertainty_score":0.006921172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022832795223705,"score_gpt":0.2456423927945028,"score_spread":0.2354140648422658,"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."}}