{"id":"W4414015841","doi":"10.11159/eee25.107","title":"Health Status Classification of Electric Motors Using CNN-Based Models and SDP Images Under Varying Noise Conditions","year":2025,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Technical University of Sofia","keywords":"Noise (video); Computer science; Artificial intelligence; Pattern recognition (psychology); Image (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002654037,0.000143141,0.0002631957,0.0005563975,0.0001353791,0.0001045635,0.0001730667,0.00003177032,8.480432e-8],"category_scores_gemma":[0.00002330607,0.0001167218,0.00002400082,0.001137135,0.00009466561,0.000169175,0.00004645887,0.0001590698,1.394112e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000879933,"about_ca_system_score_gemma":0.00004932085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005738646,"about_ca_topic_score_gemma":5.283864e-7,"domain_scores_codex":[0.9990324,0.000006243023,0.0002765224,0.0002303596,0.000192863,0.0002616156],"domain_scores_gemma":[0.9995137,0.0001122991,0.00009251863,0.00008491696,0.0001127764,0.00008381742],"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":[0.00001839058,0.0001037479,0.008851801,0.002560216,0.00006888246,2.727833e-7,0.0001163784,0.6467091,0.1925945,0.1384206,0.0005663194,0.009989773],"study_design_scores_gemma":[0.0001414318,0.00004659,0.009582317,0.0005716375,0.00001047221,0.000002340477,0.000003049991,0.9769042,0.01248883,0.000128271,0.00002072493,0.0001001935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9483032,0.00242082,0.04791783,0.0001747011,0.0003300995,0.0004833562,0.000005681472,0.000200697,0.0001636373],"genre_scores_gemma":[0.998471,0.0001154665,0.001327552,0.00002704803,0.0000168685,0.00002069966,2.190333e-7,0.00000967766,0.00001149109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.330195,"threshold_uncertainty_score":0.4759778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235932485213479,"score_gpt":0.2675012870295242,"score_spread":0.2551419621773894,"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."}}