{"id":"W2164884304","doi":"10.1109/mper.2001.4311172","title":"Online Detection and Location of Low-Level Arcing in Dry-Type Transformers","year":2001,"lang":"en","type":"article","venue":"IEEE Power Engineering Review","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Switchgear; Electric arc; Enclosure; Transformer; Electrical engineering; Voltage; Low voltage; Materials science; Electrode; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001442533,0.000147493,0.0002449039,0.0001469006,0.00001005703,0.00000662949,0.00004937268,0.00005890306,0.00001082536],"category_scores_gemma":[0.00005559701,0.0001574082,0.00002892484,0.0007334069,0.00000951017,0.0001621974,0.000002267144,0.0001377219,0.000003436792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005304792,"about_ca_system_score_gemma":0.00001141682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001755129,"about_ca_topic_score_gemma":0.00003173603,"domain_scores_codex":[0.999233,0.000005765882,0.0003639977,0.0001168185,0.0001028464,0.0001775939],"domain_scores_gemma":[0.9997192,0.00003895076,0.00002297564,0.00009507372,0.00007368478,0.00005011936],"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":[0.00003348009,0.0002778612,0.004110979,0.03821347,0.0001610736,0.00001990075,0.0008755796,0.4404882,0.1717773,0.0001545027,0.00007701197,0.3438107],"study_design_scores_gemma":[0.001895385,0.0003107329,0.2033794,0.03963129,0.000205986,0.00006395667,0.0000437931,0.6953512,0.04140286,0.00005981141,0.01614545,0.001510164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.732771,0.07113538,0.1942548,0.00006022431,0.000854684,0.0005167081,0.00001101451,0.0001543176,0.0002418484],"genre_scores_gemma":[0.9094269,0.0901478,0.0003358138,0.00002258648,0.00001865538,0.000009723136,0.000009030004,0.00002701917,0.000002514339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3423005,"threshold_uncertainty_score":0.6418919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372039029743509,"score_gpt":0.2278850692693305,"score_spread":0.2141646789718954,"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."}}