{"id":"W2051542965","doi":"10.1109/mei.2009.4802595","title":"An approach to power transformer asset management using health index","year":2009,"lang":"en","type":"article","venue":"IEEE Electrical Insulation Magazine","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":435,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kinectrics (Canada)","funders":"","keywords":"Asset management; Transformer; Reliability engineering; Index (typography); Maintenance engineering; Computer science; Risk analysis (engineering); Business; Engineering; Electrical engineering; Finance; 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":[0.0001862682,0.0002283208,0.0002351341,0.0003747939,0.0000957779,0.00007060831,0.0001371891,0.000102551,0.00001923545],"category_scores_gemma":[0.000004714047,0.000238589,0.0000580314,0.001002664,0.00000822417,0.0003587823,0.000001495893,0.0001970684,0.00004301425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002479445,"about_ca_system_score_gemma":0.00002198286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005782963,"about_ca_topic_score_gemma":0.000001183565,"domain_scores_codex":[0.9984292,0.0000312581,0.0004341353,0.0002847322,0.0003356462,0.0004849851],"domain_scores_gemma":[0.9993994,0.00001565315,0.00003175939,0.0002240597,0.00005418995,0.0002749401],"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":[0.0000759081,0.0007652218,0.0008718739,0.00005814201,0.00007142457,0.00000456623,0.0004094949,0.8408846,0.0461554,0.007190194,0.001935419,0.1015778],"study_design_scores_gemma":[0.0006446094,0.0003794828,0.2342599,0.00001850498,0.00001766599,0.000006986131,0.000004473567,0.7591019,0.0007243642,0.0007380059,0.003747849,0.0003562384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1666252,0.0001075835,0.819752,0.0001660946,0.0002013165,0.0005812543,0.00001266432,0.0002958191,0.01225806],"genre_scores_gemma":[0.9904011,0.00006877933,0.008551086,0.0007393405,0.00008773473,0.0000128963,0.00007790232,0.00003563189,0.00002554104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8237759,"threshold_uncertainty_score":0.9729378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01740690991300569,"score_gpt":0.271964830621597,"score_spread":0.2545579207085913,"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."}}