{"id":"W4200535583","doi":"10.18280/ejee.230608","title":"Iron Loss Quantification in the Aim of the Estimation of Eddy Currents in Clamping Devices","year":2021,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Lille","keywords":"Clamping; Eddy current; Stator; Electromagnetic coil; Materials science; Mechanics; Joule heating; Power (physics); Magnetic core; Nuclear magnetic resonance; Electrical engineering; Physics; Mechanical engineering; Engineering; Composite material; Thermodynamics","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":[0.0008033225,0.00008824851,0.0001954283,0.0002231101,0.0000123392,0.00001476896,0.0002629026,0.00001993313,0.000002774831],"category_scores_gemma":[0.0002771333,0.000062145,0.00009801392,0.001328501,0.000008675122,0.00009213439,0.00001099563,0.000364158,7.671279e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005132312,"about_ca_system_score_gemma":0.00002283496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001890378,"about_ca_topic_score_gemma":0.000001712682,"domain_scores_codex":[0.9987643,0.0001858062,0.0006022959,0.00006647706,0.0002400516,0.0001410074],"domain_scores_gemma":[0.9994875,0.0001486999,0.0001497791,0.000133639,0.00005828358,0.00002216747],"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":[0.000004583064,0.0000460392,0.001324504,0.00008047232,0.00002098919,0.00002510907,0.0002642985,0.9430772,0.02527887,0.0001794298,0.00001878347,0.02967972],"study_design_scores_gemma":[0.0002974325,0.00004002131,0.04984468,0.0002745211,0.00003253611,0.0000369111,0.0000171792,0.9370385,0.01222222,0.00001691141,0.00009460327,0.00008448058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8544125,0.002432371,0.1426902,0.00008814147,0.0001227452,0.00006432249,5.619434e-7,0.00001011265,0.0001790029],"genre_scores_gemma":[0.9987192,0.0001490004,0.001065658,0.000007118324,0.00004013261,5.111863e-7,8.642592e-7,0.00001435691,0.000003202314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1443066,"threshold_uncertainty_score":0.25342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148083569378264,"score_gpt":0.2164615875333371,"score_spread":0.2049807518395545,"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."}}