{"id":"W4408017579","doi":"10.1109/tia.2025.3546174","title":"Comparison Between a Series-Hybrid Variable-Flux Memory Motor and a Rare-Earth IPMSM","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Series (stratigraphy); Variable (mathematics); Control theory (sociology); Flux (metallurgy); Rare earth; Direct torque control; Physics; Computer science; Induction motor; Voltage; Engineering; Electrical engineering; Materials science; Mathematics; Control (management); Geology","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":[0.0001012336,0.0002082883,0.0002921136,0.0002986144,0.0003073351,0.00007588493,0.0001679642,0.0002648299,0.0001924151],"category_scores_gemma":[0.000002250911,0.0002361863,0.00007526512,0.0009925836,0.00005771223,0.0001578627,0.00000136223,0.0008841787,0.00003545842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006546691,"about_ca_system_score_gemma":0.00006364111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000291179,"about_ca_topic_score_gemma":0.000006880973,"domain_scores_codex":[0.9989688,0.00003548012,0.0003301648,0.0002860985,0.0001274939,0.0002519918],"domain_scores_gemma":[0.9992541,0.000135869,0.00003437438,0.0003970531,0.00004539313,0.0001332101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007646461,0.0008098437,0.001272178,0.0005643922,0.002633118,0.000007318789,0.0003591705,0.1814904,0.05856286,0.003010198,0.02015712,0.7310569],"study_design_scores_gemma":[0.003356194,0.000391588,0.004124391,0.0004100465,0.002990682,0.00006723234,0.000555829,0.2444811,0.4197138,0.003270969,0.3180303,0.002607908],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01219346,0.0001357355,0.980303,0.0002089452,0.00008303752,0.0005141493,0.000151391,0.0004346892,0.005975632],"genre_scores_gemma":[0.9868693,0.0000433631,0.002976942,0.00007465728,0.00009092379,0.0008704412,0.00002353046,0.00002879468,0.009022024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.977326,"threshold_uncertainty_score":0.9631396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457550529023952,"score_gpt":0.249169126317766,"score_spread":0.2345936210275265,"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."}}