{"id":"W4400112365","doi":"10.1109/epdc62178.2024.10571706","title":"Determining the intensity and occurrence location of faults in transformers using frequency response analysis (FRA) with novel multistage optimization algorithm and SVMD decomposition technique","year":2024,"lang":"en","type":"article","venue":"","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Algorithm; Transformer; Decomposition; Frequency response; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004500519,0.0006274027,0.0005026397,0.0006514756,0.0001965311,0.0003698642,0.00033259,0.0005128725,0.0004842555],"category_scores_gemma":[0.0008558835,0.0003358625,0.0006559298,0.0004075809,0.0002242957,0.0004166285,0.0003329037,0.0003628306,0.0001455218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002684811,"about_ca_system_score_gemma":0.0003194916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002222515,"about_ca_topic_score_gemma":0.001767466,"domain_scores_codex":[0.9997737,0.00006615104,0.00001709323,0.00005494118,0.00007068919,0.00001750244],"domain_scores_gemma":[0.9997123,0.0001448069,0.00005616333,0.00001974672,0.00005705093,0.000009863408],"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":[0.0001507334,0.00009687278,0.004413649,0.0001621652,0.0000766489,0.00008897705,0.0001506407,0.6505171,0.05267344,0.00240528,0.0005721466,0.2886924],"study_design_scores_gemma":[0.000002821032,0.00002319756,0.0005314021,0.000002338716,0.000004339021,0.00001868538,0.000006037943,0.9970427,0.002016615,0.0002356472,0.0001131326,0.000003064276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03488322,0.00007453633,0.964205,0.00005032287,0.000007416425,0.00002152205,0.00001635169,0.0002309165,0.0005106944],"genre_scores_gemma":[0.5135506,0.0001009207,0.4852432,0.00002890262,0.00001111671,0.00008681422,0.00009828582,0.00004085262,0.0008393846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002222515,"threshold_uncertainty_score":0.004419208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009785871034022,"score_gpt":0.2523352715709006,"score_spread":0.2422374128605604,"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."}}