{"id":"W4280641266","doi":"10.1007/s00202-022-01566-9","title":"Multi-criterion fuzzy model for power transformer insulation monitoring","year":2022,"lang":"en","type":"article","venue":"Electrical Engineering","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Department of Scientific and Industrial Research, Ministry of Science and Technology, India","keywords":"Transformer; Fuzzy logic; Reliability engineering; Electronic engineering; Electrical engineering; Engineering; Computer science; Materials science; Voltage; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000945556,0.0007294411,0.001105353,0.0006060549,0.0003985691,0.001027517,0.001225195,0.001181992,0.001714347],"category_scores_gemma":[0.00142501,0.0003649427,0.000833029,0.0006018092,0.000425936,0.0007815991,0.0005028627,0.0008211628,0.0002320786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001175331,"about_ca_system_score_gemma":0.0007139124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01707225,"about_ca_topic_score_gemma":0.01241685,"domain_scores_codex":[0.9995444,0.0001351232,0.00002421764,0.0001023775,0.000139293,0.00005451147],"domain_scores_gemma":[0.9994984,0.0002391029,0.00005421671,0.00002811433,0.0001559527,0.00002425771],"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":[0.00003688074,0.00002596345,0.0002146002,0.0000320622,0.00003049193,0.00004595471,0.0000214313,0.9885023,0.001073594,0.00287628,0.0001734781,0.006966974],"study_design_scores_gemma":[0.000001354892,0.000006825484,0.00005730107,0.000001410968,0.000003021699,0.000003110475,0.000001529054,0.9992532,0.0000621037,0.0005730817,0.00003531034,0.000001773408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04292345,0.0005115921,0.9521968,0.0001584349,0.00004155247,0.00004026678,0.0001326176,0.0001975628,0.003797803],"genre_scores_gemma":[0.9654973,0.0001885681,0.03060462,0.00003222618,0.00001624098,0.00007351541,0.0000992839,0.00001724973,0.003471054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01707225,"threshold_uncertainty_score":0.0339458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423272482582344,"score_gpt":0.2248450476626616,"score_spread":0.2106123228368382,"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."}}