{"id":"W4413556754","doi":"10.1109/isie62713.2025.11124684","title":"Advanced Condition Monitoring of Metal Oxide Varistors (MOVs) in DC Circuit Breakers Using Unsupervised Machine Learning Methods","year":2025,"lang":"en","type":"article","venue":"","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Varistor; Circuit breaker; Materials science; Electrical engineering; Oxide; Computer science; Electronic engineering; Metallurgy; 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":[0.0002441869,0.0003525644,0.0002699,0.0004008412,0.0001086123,0.000255963,0.0004225172,0.0003155274,0.0003183168],"category_scores_gemma":[0.0008107136,0.0001073499,0.0001850236,0.0002161293,0.0002122546,0.0003633864,0.0002581846,0.0002806144,0.0001213845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002497935,"about_ca_system_score_gemma":0.0002126245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001394059,"about_ca_topic_score_gemma":0.002161576,"domain_scores_codex":[0.9998702,0.00002386747,0.000006127371,0.0000470963,0.00003949262,0.00001330008],"domain_scores_gemma":[0.9997057,0.0001145377,0.00008151129,0.00003026487,0.00005489329,0.00001293764],"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":[0.0002482842,0.0002413887,0.01769149,0.0001357981,0.00007827167,0.0001712117,0.0001136949,0.4794546,0.09729224,0.001856869,0.001620053,0.4010961],"study_design_scores_gemma":[0.00000262093,0.00002899099,0.00271849,0.000002721191,0.000004134583,0.00002872993,0.000008463694,0.9885193,0.007913668,0.000543558,0.00022386,0.000005580908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2148275,0.0002846147,0.7820466,0.0001067557,0.00002168903,0.00003638248,0.0001699562,0.001498224,0.001008336],"genre_scores_gemma":[0.9487748,0.00008061319,0.05038027,0.00002111421,0.00001679566,0.00002282603,0.0001186647,0.00002612579,0.0005589488],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001394059,"threshold_uncertainty_score":0.002771854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02833971269521234,"score_gpt":0.3328242735390352,"score_spread":0.3044845608438228,"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."}}