{"id":"W4413513927","doi":"10.1109/isie62713.2025.11124623","title":"Design Optimization of Pulse Transformers in Series-Type Hybrid Circuit Breakers Using a Neural Network Based Surrogate Model","year":2025,"lang":"en","type":"article","venue":"","topic":"Vacuum and Plasma Arcs","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Artificial neural network; Circuit breaker; Transformer; Computer science; Electronic engineering; Engineering; Electrical engineering; 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":[0.0005465923,0.0005546313,0.0005190228,0.0003203514,0.0002211476,0.0006244325,0.0005041026,0.0008655327,0.001425021],"category_scores_gemma":[0.0007787892,0.0003998611,0.0004941819,0.000292186,0.0004075409,0.0004507717,0.0004139592,0.0005411903,0.0001761435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005923392,"about_ca_system_score_gemma":0.000723418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001846327,"about_ca_topic_score_gemma":0.002305949,"domain_scores_codex":[0.9998437,0.00005348797,0.000005996035,0.00002412925,0.00005567621,0.00001702858],"domain_scores_gemma":[0.9997393,0.0001476248,0.00003541111,0.00001477205,0.00004947529,0.00001337298],"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":[0.00001372336,0.000009239106,0.0001289062,0.00001856036,0.000005436297,0.0000138163,0.000006106239,0.9941183,0.0009811538,0.0006152271,0.0000639512,0.004025538],"study_design_scores_gemma":[0.000001716203,0.00000915872,0.00002227963,0.00000138809,0.000001247666,0.00000242427,0.000001545392,0.9995207,0.0001833927,0.0001699225,0.00008557215,7.103387e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07992444,0.0003007748,0.9079068,0.0001783633,0.00003062562,0.00006434627,0.00007251231,0.0002741196,0.01124798],"genre_scores_gemma":[0.8951394,0.0001898906,0.1000924,0.00005987284,0.00001021158,0.0001915385,0.0001124914,0.00005980647,0.004144467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001846327,"threshold_uncertainty_score":0.004767179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02644259792431165,"score_gpt":0.2405685189857883,"score_spread":0.2141259210614767,"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."}}