{"id":"W2898289728","doi":"10.1109/icelmach.2018.8507082","title":"Performance Prediction of a Dual Inverter Open Winding IPMSM Drive Considering Machine's Saturation and Losses","year":2018,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Inverter; Torque; Control theory (sociology); Magnet; Saturation (graph theory); Finite element method; Core (optical fiber); Synchronous motor; Dual (grammatical number); Permanent magnet synchronous motor; Computer science; Electromagnetic coil; Engineering; Electrical engineering; Physics; Voltage; Mathematics; Structural 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":[0.0000823862,0.00006944232,0.0001078099,0.00008151193,0.00005326646,0.00004528885,0.00004624711,0.00003484506,0.00008963865],"category_scores_gemma":[0.000009624582,0.00006067035,0.00001379465,0.0001395817,0.00003069612,0.0003476415,0.00002651115,0.00005050102,0.000004176317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001750765,"about_ca_system_score_gemma":0.000007246423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004942365,"about_ca_topic_score_gemma":0.00004079938,"domain_scores_codex":[0.9996051,0.000009346202,0.0001368503,0.00009093973,0.00006727219,0.00009053969],"domain_scores_gemma":[0.9998252,0.00001926406,0.00002273201,0.00007357665,0.0000311132,0.00002809892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005448393,0.00004100622,0.2392706,0.000322965,0.0005440447,0.000005228425,0.00362689,0.001145833,0.6001986,0.0008357686,0.00452042,0.1494342],"study_design_scores_gemma":[0.0002323379,0.00008916652,0.01599452,0.00003586008,0.00003098841,0.00001135672,0.00002542074,0.9314554,0.05183545,0.00004003525,0.0001679361,0.0000814645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983184,0.00006118952,0.009574082,0.00001645345,0.00006002648,0.0001061653,0.000002912437,0.00006956141,0.006925656],"genre_scores_gemma":[0.997761,0.00007710618,0.001871341,0.00002210014,0.00006118187,0.000004120767,0.000004741815,0.000008248404,0.0001901809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9303097,"threshold_uncertainty_score":0.2474065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468811178659229,"score_gpt":0.2110015344340271,"score_spread":0.1963134226474348,"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."}}