{"id":"W4394711326","doi":"10.1109/tdei.2024.3387411","title":"Effects of Repetitive Fast Transients on Aging of Transformer Insulation","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Dielectrics and Electrical Insulation","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transformer; Materials science; Accelerated aging; Electrical engineering; Electronic engineering; Engineering; Voltage; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002773792,0.0002439718,0.0003443694,0.0008269336,0.0001542481,0.00005232499,0.00009712954,0.0001684098,0.00004988728],"category_scores_gemma":[0.00003725072,0.0002222326,0.0001372705,0.001777989,0.00006931327,0.000282153,6.267372e-7,0.0003042178,0.00001524414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001219721,"about_ca_system_score_gemma":0.00008533952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004280035,"about_ca_topic_score_gemma":0.000002335776,"domain_scores_codex":[0.9979891,0.0001095414,0.0006061994,0.0004538768,0.0005078302,0.0003335071],"domain_scores_gemma":[0.9988457,0.0006274377,0.0001216351,0.0001501537,0.0001460908,0.0001089577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002865586,0.0004548466,0.00001813582,0.000228321,0.00004553468,0.000004868843,0.0008139933,0.003755559,0.8829147,0.005308436,0.000007616734,0.1061614],"study_design_scores_gemma":[0.0008134107,0.001245175,0.004366207,0.000174329,0.0001143455,0.000005202467,0.000008113704,0.07871373,0.9124883,0.001692803,0.0001244398,0.000253895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5993665,0.0004558772,0.3987152,0.00005924338,0.0002997069,0.0003773557,0.00001929427,0.00009636884,0.0006104437],"genre_scores_gemma":[0.9990179,0.0004880878,0.0001751008,0.00007011821,0.00004118052,0.00003530176,0.000006563061,0.00003008869,0.0001356512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3996514,"threshold_uncertainty_score":0.9062381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00924263198327264,"score_gpt":0.246894271903885,"score_spread":0.2376516399206124,"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."}}