{"id":"W2100632329","doi":"10.1109/ccece.1993.332357","title":"A technique for estimating the location of a transmission line shunt fault","year":2002,"lang":"en","type":"article","venue":"","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Emtp; Electric power transmission; Transmission line; Computer science; Fault (geology); Transmission (telecommunications); Real-time computing; Data mining; Reliability engineering; Engineering; Electrical engineering; Telecommunications; Seismology; Geology","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":[0.0003931916,0.0009100417,0.0006428001,0.001913604,0.0005377357,0.0005825188,0.0007114805,0.00103084,0.002336523],"category_scores_gemma":[0.003249134,0.0004516717,0.0005192148,0.001245211,0.000330956,0.00106111,0.0006246986,0.001040816,0.002044318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002670461,"about_ca_system_score_gemma":0.0005731944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001940882,"about_ca_topic_score_gemma":0.002361229,"domain_scores_codex":[0.9994751,0.00008148915,0.00002622043,0.0001336377,0.0002515442,0.00003215352],"domain_scores_gemma":[0.9989564,0.0003732437,0.0001830176,0.0001366122,0.0003235455,0.00002710455],"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":[0.0002372867,0.0000525781,0.00280127,0.000293436,0.00008257147,0.000319313,0.0002604966,0.05310248,0.1259664,0.006306159,0.002797685,0.8077803],"study_design_scores_gemma":[0.0001332449,0.000523499,0.007231073,0.0001314542,0.0002419297,0.003359847,0.0001914271,0.7950579,0.1539003,0.009322599,0.02974801,0.0001587489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003677618,0.0001029866,0.9949383,0.00002519256,0.00004840795,0.00002206014,0.00005051216,0.0006395702,0.0004954219],"genre_scores_gemma":[0.113093,0.0003136713,0.8843928,0.00003125533,0.00008211676,0.00006531883,0.0001916878,0.00009178345,0.001738356],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002336523,"threshold_uncertainty_score":0.007816494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01571220571642189,"score_gpt":0.2450121621991364,"score_spread":0.2292999564827145,"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."}}