{"id":"W4403839850","doi":"10.18280/jesa.570501","title":"Advanced Diagnosis of Air Gap Eccentricity in Three-Phase Induction Motor Using DWT Decomposition and AI Techniques","year":2024,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Induction motor; Decomposition; Phase (matter); Computer science; Eccentricity (behavior); Artificial intelligence; Engineering; Psychology; Physics; Electrical engineering; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001847044,0.0003231169,0.0002372916,0.000602844,0.00008702394,0.0002719261,0.0001374526,0.000284557,0.0004636103],"category_scores_gemma":[0.0004507564,0.00009796506,0.000195033,0.0003933228,0.0001237651,0.0004691903,0.0001526064,0.0002741072,0.0001555325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001001354,"about_ca_system_score_gemma":0.0001163725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004656263,"about_ca_topic_score_gemma":0.0005160391,"domain_scores_codex":[0.999931,0.0000120683,0.00000539459,0.00001380505,0.00003059883,0.000007152275],"domain_scores_gemma":[0.9998729,0.00004377286,0.00002715087,0.00001124435,0.00003696045,0.00000786154],"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":[0.0002921607,0.0001351606,0.005415427,0.0004079114,0.00004621949,0.0005541012,0.0001904211,0.065457,0.3853295,0.004041583,0.001068147,0.5370623],"study_design_scores_gemma":[0.000009481822,0.0001615371,0.01020585,0.00002718074,0.00002150594,0.0004221855,0.00009424994,0.9455137,0.03921825,0.002321217,0.001991773,0.0000130756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1533595,0.0006355203,0.8439901,0.0001400915,0.00003914134,0.00004047901,0.00007789405,0.0003003276,0.0014171],"genre_scores_gemma":[0.7856198,0.0008945236,0.2114554,0.00002595377,0.00002467191,0.00002631612,0.0001751647,0.0000282131,0.001749985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.000602844,"threshold_uncertainty_score":0.001550913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02767572739783102,"score_gpt":0.3164187790189454,"score_spread":0.2887430516211144,"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."}}