{"id":"W2555284360","doi":"10.1109/pesgm.2016.7741359","title":"Impulse generator optimum setup for transient testing of transformers using frequency-response analysis and genetic algorithm","year":2016,"lang":"en","type":"article","venue":"","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Impulse generator; Resistor; Transformer; Impulse (physics); Voltage; Waveform; Electronic engineering; Computer science; Control theory (sociology); Engineering; Electrical engineering; Physics","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":[0.0001466461,0.0001553971,0.0002331774,0.000245893,0.00004769604,0.00001530319,0.00005293214,0.00006806034,0.0000293835],"category_scores_gemma":[0.00003009549,0.0001185038,0.0001099927,0.0003851291,0.00004029028,0.0001348549,0.000002285674,0.00002916495,4.534611e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004635702,"about_ca_system_score_gemma":0.00003128395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005190845,"about_ca_topic_score_gemma":0.00001526414,"domain_scores_codex":[0.9991093,0.00001593379,0.000344216,0.0001723305,0.0001094052,0.0002488142],"domain_scores_gemma":[0.9994246,0.0002735815,0.00002503171,0.00009970406,0.00008004635,0.00009702895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003270414,0.00002237801,0.001854326,0.00006301948,0.0004227051,0.000002179888,0.00018904,0.02438785,0.8556723,0.00001754632,0.000008153413,0.1173278],"study_design_scores_gemma":[0.0009700735,0.0001570868,0.02715794,0.000044215,0.0006288954,0.000005689512,0.00002811031,0.8528284,0.1177278,0.00008928053,0.00008275663,0.0002797633],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4689122,0.0001442483,0.5305108,0.00001827817,0.00004595823,0.0001461017,0.0001462019,0.00003226176,0.00004397889],"genre_scores_gemma":[0.7825558,0.0001073633,0.217261,0.000009742032,0.00001962683,0.0000141749,0.000005319723,0.00002265066,0.00000433354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8284405,"threshold_uncertainty_score":0.4832444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409698467516127,"score_gpt":0.2290815799429752,"score_spread":0.2149845952678139,"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."}}