{"id":"W1921577636","doi":"10.1109/demped.2015.7303716","title":"Detection and severity estimation of static and dynamic eccentricity in induction motors using finite element analysis","year":2015,"lang":"en","type":"article","venue":"","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Opal-Rt Technologies (Canada); University of Victoria","funders":"","keywords":"Finite element method; Eccentricity (behavior); Induction motor; Stator; Fault (geology); Control theory (sociology); Computer science; Engineering; Structural engineering; Mechanical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002109401,0.00006907811,0.0001308618,0.0003595743,0.00001089114,0.00001201631,0.00001712413,0.00003891027,0.000004260582],"category_scores_gemma":[0.00006159626,0.00007135908,0.00001224149,0.0004344614,0.00001165053,0.0001655405,0.00001545698,0.00005784551,1.022932e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001466442,"about_ca_system_score_gemma":0.000004400309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001086687,"about_ca_topic_score_gemma":0.0008475252,"domain_scores_codex":[0.99954,0.00002774082,0.0001844611,0.00009021266,0.00008624014,0.00007132641],"domain_scores_gemma":[0.999813,0.00002956175,0.00003572736,0.00006517998,0.0000230964,0.00003349927],"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":[0.000004924428,0.00002405851,0.06611532,0.00007189357,0.0000499954,4.008896e-7,0.0002645755,0.9061827,0.0009668315,0.000006032473,0.000002587924,0.02631067],"study_design_scores_gemma":[0.0001247152,0.00002041622,0.07627752,0.000008206362,0.00006349476,7.624133e-7,0.00004750944,0.9174562,0.005697356,0.0002415068,0.000001492006,0.00006083824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6600924,0.00002109046,0.3396937,0.000003983336,0.00001323341,0.0001009962,0.000002380289,0.00005590667,0.00001635191],"genre_scores_gemma":[0.9845629,0.00003742945,0.01537515,0.00000294485,0.000002051285,0.000007660204,0.00000552246,0.000005527262,8.181754e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3244705,"threshold_uncertainty_score":0.2909939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342622572289977,"score_gpt":0.2867302851735952,"score_spread":0.2733040594506954,"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."}}