{"id":"W2799217489","doi":"10.1109/cpre.2018.8349833","title":"Tutorial on high impedance fault detection","year":2018,"lang":"en","type":"article","venue":"","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"General Electric (Canada)","funders":"","keywords":"Electrical impedance; High impedance; Fault (geology); Conductor; Fault indicator; Power (physics); Fault detection and isolation; Electrical engineering; Computer science; Engineering; Electronic engineering; Physics; Materials science; Geology; Seismology","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":[0.0005433031,0.001424917,0.001030611,0.002312643,0.0005404828,0.002589997,0.001864644,0.002279415,0.05555788],"category_scores_gemma":[0.002178065,0.0006400738,0.0006991129,0.003085494,0.0005534131,0.004017894,0.001066776,0.002375501,0.04079512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006856142,"about_ca_system_score_gemma":0.0007180904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001018636,"about_ca_topic_score_gemma":0.0008394127,"domain_scores_codex":[0.9993316,0.00007416216,0.0000416488,0.0001622307,0.0003339556,0.00005638598],"domain_scores_gemma":[0.9988289,0.0004642693,0.00006686654,0.00009126978,0.0004732808,0.00007530544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001641382,0.0001367311,0.0004892869,0.002084891,0.00004582653,0.0005208389,0.0002452139,0.004844987,0.01567297,0.03634838,0.2702779,0.6691687],"study_design_scores_gemma":[0.00001263043,0.000111374,0.00052345,0.0005233861,0.00002131762,0.001442507,0.0000625902,0.005903816,0.003379448,0.01471603,0.9732597,0.00004377258],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004040004,0.233271,0.4828,0.004433618,0.01717279,0.0004951517,0.002011269,0.006498505,0.2492776],"genre_scores_gemma":[0.04869842,0.2699767,0.2558002,0.006193077,0.01772913,0.0005812994,0.007201463,0.002368198,0.3914515],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05555788,"threshold_uncertainty_score":0.1858596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004475262227014777,"score_gpt":0.2048286679573411,"score_spread":0.2003534057303264,"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."}}