{"id":"W7127291691","doi":"10.1109/ccece64018.2025.11364490","title":"End-to-End Deep Learning for Classification and Quantification of Mixed Eccentricity Faults in Salient Pole Synchronous Machines","year":2025,"lang":"","type":"article","venue":"","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Preprocessor; Pattern recognition (psychology); Salient; Deep learning; Convolutional neural network; Noise (video); Artificial neural network; Feature extraction; Fault (geology)","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":[0.0008649462,0.000407403,0.0006162362,0.001031333,0.0001373812,0.00007699129,0.0002991759,0.0002830942,0.0000756026],"category_scores_gemma":[0.0009317972,0.0004508073,0.0001164437,0.0009949509,0.0000732161,0.000200475,0.0001316151,0.0003467257,0.000005742161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003762149,"about_ca_system_score_gemma":0.00005695067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001382363,"about_ca_topic_score_gemma":0.001437694,"domain_scores_codex":[0.9972152,0.0001775237,0.001180699,0.0007062539,0.0002391091,0.0004812424],"domain_scores_gemma":[0.9982051,0.0007650558,0.0002405647,0.0004750988,0.0001947502,0.000119399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002190134,0.0008713981,0.2622509,0.002668491,0.0001643469,0.000001531884,0.001170873,0.06773606,0.07931732,0.03086332,0.0008523491,0.5538844],"study_design_scores_gemma":[0.0006419711,0.0001289779,0.2577215,0.0002964645,0.00006909345,6.861577e-7,0.0001803533,0.6799662,0.05877841,0.0004516275,0.00145866,0.0003060828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4326568,0.001154101,0.5615444,0.000817787,0.0002935651,0.00198999,0.00003393709,0.0002665047,0.00124294],"genre_scores_gemma":[0.9850222,0.0007695322,0.01337159,0.00005039226,0.00003536333,0.0004207151,0.0001079428,0.00004931201,0.0001729716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6122301,"threshold_uncertainty_score":0.9997944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329122089057959,"score_gpt":0.3002360099813183,"score_spread":0.2869447890907387,"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."}}