{"id":"W4415675400","doi":"10.1016/j.epsr.2025.112396","title":"Settings-free strategy for correlation-based one-ended traveling wave fault location methods","year":2025,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Crew; Fault (geology); Process (computing); Parametric statistics; Point (geometry); Transmission (telecommunications); Field (mathematics); Window (computing); Fault detection and isolation","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":[0.002590512,0.001562187,0.001640129,0.001490785,0.001116567,0.001508528,0.002931295,0.001570833,0.008351304],"category_scores_gemma":[0.01362051,0.0008143981,0.001110741,0.001198871,0.001069937,0.002650328,0.004003194,0.002472828,0.002931939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005549848,"about_ca_system_score_gemma":0.001999097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001674817,"about_ca_topic_score_gemma":0.002034623,"domain_scores_codex":[0.9973041,0.001038893,0.0001981474,0.0004750029,0.0007781175,0.000205648],"domain_scores_gemma":[0.9940881,0.002908265,0.000308998,0.001234914,0.001220874,0.0002389651],"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":[0.001257878,0.0004710105,0.001728127,0.0004512176,0.0002484995,0.0003529022,0.0003564058,0.2187937,0.02530646,0.08570419,0.007867773,0.6574618],"study_design_scores_gemma":[0.00005602294,0.0001293077,0.0002784426,0.00002315513,0.00004207641,0.0001313825,0.00003267789,0.9697231,0.005722294,0.02227081,0.001559418,0.00003126081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002456518,0.00004930966,0.9964107,0.00004431321,0.00002295854,0.00004901991,0.00003111123,0.0003279141,0.0006081051],"genre_scores_gemma":[0.2610172,0.0002188156,0.7305254,0.0002578635,0.0001249856,0.0006506687,0.0006668826,0.0003683642,0.006169812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008351304,"threshold_uncertainty_score":0.02793789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06135613079202729,"score_gpt":0.3815592999205883,"score_spread":0.3202031691285611,"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."}}