{"id":"W2165531365","doi":"10.1109/pes.2008.4596719","title":"Condition assessment of power transformers","year":2008,"lang":"en","type":"article","venue":"","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Powertech Labs (Canada)","funders":"","keywords":"Reliability engineering; Transformer; Engineering; Condition monitoring; Computer science; Electrical engineering; Voltage","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":[0.00002511827,0.00005077361,0.00006925735,0.00004378635,0.00001815658,0.000001756176,0.00002376241,0.00002788121,0.0003820338],"category_scores_gemma":[0.000001170903,0.00004789009,0.00003285339,0.00006252332,0.00001961293,0.000102634,6.819856e-7,0.00003733055,0.000006933139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001734774,"about_ca_system_score_gemma":0.00001063445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005191819,"about_ca_topic_score_gemma":0.00000174838,"domain_scores_codex":[0.9996608,0.000002143181,0.0001269817,0.00004044184,0.00008982661,0.00007978534],"domain_scores_gemma":[0.999892,0.00001558124,0.000006414704,0.00004113425,0.0000190626,0.00002579328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002986971,0.0008163451,0.1147167,0.0006153033,0.0007393051,0.00004203679,0.00477307,0.1324163,0.5498471,0.149459,0.02406766,0.02247748],"study_design_scores_gemma":[0.001008855,0.0001733571,0.815757,0.00002947949,0.00002273917,0.00001433762,0.0000820362,0.06458374,0.1065907,0.0003996243,0.01103816,0.0003000279],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5937257,0.00002945133,0.1684716,0.00002103409,0.0001538393,0.00007959896,0.0000135399,0.00007910989,0.2374261],"genre_scores_gemma":[0.9988933,0.0002211383,0.000800861,0.00001734824,0.000005495645,0.000004390693,0.0000204728,0.000008040164,0.00002892701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7010403,"threshold_uncertainty_score":0.4183002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009405073777326323,"score_gpt":0.2367828314470991,"score_spread":0.2273777576697728,"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."}}