{"id":"W4400082998","doi":"10.3390/en17133171","title":"An Intelligent Power Transformers Diagnostic System Based on Hierarchical Radial Basis Functions Improved by Linde Buzo Gray and Single-Layer Perceptron Algorithms","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Direction Générale de la Recherche Scientifique et du Développement Technologique","keywords":"Perceptron; Transformer; Gray (unit); Computer science; Algorithm; Radial basis function; Artificial intelligence; Pattern recognition (psychology); Artificial neural network; Engineering; Voltage; Electrical engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001168423,0.0002829232,0.0002049911,0.0002253104,0.0001142569,0.0001965981,0.00008459683,0.000150483,0.00007037417],"category_scores_gemma":[0.00002695585,0.0002549794,0.0001021617,0.0001931648,0.00006616474,0.0002371577,0.000004389455,0.0002668595,0.00001956025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001680508,"about_ca_system_score_gemma":0.00002877254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006308844,"about_ca_topic_score_gemma":0.00002192723,"domain_scores_codex":[0.9988077,0.00003378985,0.0002815998,0.0003299984,0.0002058263,0.0003411153],"domain_scores_gemma":[0.9992168,0.0004054076,0.00001057408,0.0001605444,0.00002313989,0.0001835146],"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":[0.0001537182,0.000542187,0.0005102497,0.0008851427,0.0004084371,0.00005411289,0.004001069,0.5182171,0.1399434,0.002390978,0.004046139,0.3288474],"study_design_scores_gemma":[0.0004676549,0.0007321631,0.001441856,0.0002674209,0.0001139339,0.000007087046,0.0005238116,0.9510463,0.02120728,0.00003025916,0.02365518,0.0005070321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7200792,0.002472963,0.2696861,0.0002810283,0.003020866,0.0004468882,0.0003561919,0.001157381,0.002499419],"genre_scores_gemma":[0.9986752,0.0003232567,0.000399322,0.00005118098,0.0001674022,0.0000851212,0.0001887873,0.00007458088,0.00003510559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4328292,"threshold_uncertainty_score":0.9999902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007535418522426233,"score_gpt":0.2106673901145916,"score_spread":0.2031319715921654,"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."}}