{"id":"W2901326947","doi":"10.3390/en11123248","title":"Power Transformer Diagnostics, Monitoring and Design Features","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Université du Québec à Chicoutimi","funders":"","keywords":"Reliability engineering; Power quality; Transformer; Reliability (semiconductor); Power grid; Computer science; Power (physics); Engineering; 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":[0.00005281348,0.0001182777,0.00009020917,0.00005842509,0.00007333641,0.00004969048,0.00005422472,0.00006059747,0.00003323959],"category_scores_gemma":[0.00002628028,0.0001102462,0.00002041562,0.00006947703,0.00006060183,0.0001660582,0.000003609287,0.00006811344,0.00001457602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001390938,"about_ca_system_score_gemma":0.000005655685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009752231,"about_ca_topic_score_gemma":0.000002888784,"domain_scores_codex":[0.9995149,0.000006928095,0.0001023657,0.00009976808,0.00008836646,0.0001876284],"domain_scores_gemma":[0.9997128,0.0001142538,0.000006546898,0.00008487238,0.00002990605,0.00005157691],"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":[0.0002204568,0.0002740291,0.04565902,0.0004877458,0.001058643,0.00008224238,0.03978707,0.2252393,0.3498452,0.03941298,0.09049595,0.2074374],"study_design_scores_gemma":[0.0005522816,0.0002340263,0.1743615,0.0001246546,0.00004160285,0.00001014781,0.0002524471,0.001869996,0.7820855,0.001599141,0.03832957,0.0005391673],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.949324,0.006679162,0.0264221,0.00009021219,0.001837045,0.0001557787,0.00001180293,0.0003918154,0.01508808],"genre_scores_gemma":[0.9940644,0.003437648,0.002167835,0.00001493959,0.0002205151,0.00001292655,0.000002409125,0.00002557912,0.00005375794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4322403,"threshold_uncertainty_score":0.4495709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009550732213927712,"score_gpt":0.2158237734148656,"score_spread":0.2062730412009379,"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."}}