{"id":"W2773594677","doi":"10.1109/iecon.2017.8216342","title":"Investigation of permanent magnet flux linkage variation in PMSMs due to temperature rise and magnetic saturation","year":2017,"lang":"en","type":"article","venue":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Flux linkage; Magnet; Saturation (graph theory); Control theory (sociology); Flux (metallurgy); Linkage (software); Magnetic flux; Materials science; Physics; Engineering; Magnetic field; Voltage; Electrical engineering; Direct torque control; Computer science; Chemistry; Mathematics; Induction motor; Metallurgy","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":[0.000513425,0.0001975846,0.0003477932,0.00006710499,0.0001639636,0.0001276133,0.0004298398,0.0003817179,0.00002304145],"category_scores_gemma":[0.0001375308,0.0001718901,0.0001211861,0.0001860737,0.0001072207,0.0003219076,0.00004259268,0.0005972764,0.000001999551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001289849,"about_ca_system_score_gemma":0.0002464926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002166672,"about_ca_topic_score_gemma":0.0002130842,"domain_scores_codex":[0.9987248,0.00009632252,0.0004166977,0.0002309091,0.0002477231,0.0002836152],"domain_scores_gemma":[0.9989721,0.00005444296,0.0002621043,0.0004364103,0.0001963409,0.00007861844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007346929,0.00004070322,0.001836322,0.0001316929,0.0001587732,0.000002052043,0.008550316,0.003367636,0.9569687,0.0007900363,0.0102964,0.01778385],"study_design_scores_gemma":[0.00844882,0.002277728,0.1288676,0.001215028,0.0007777658,0.0000343049,0.0009962292,0.260333,0.5849864,0.007481874,0.002521271,0.002060034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979299,0.0003959535,0.0001294548,0.000577267,0.0002842844,0.0004156738,0.00004996886,0.00002292785,0.0001946192],"genre_scores_gemma":[0.9990334,0.0002267683,0.0001640783,0.00002972075,0.0001656382,0.00001657939,0.00001034711,0.00001579884,0.0003376661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3719824,"threshold_uncertainty_score":0.7009475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02590004282486699,"score_gpt":0.2252503987034713,"score_spread":0.1993503558786043,"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."}}