{"id":"W2172077778","doi":"10.1109/ias.1993.298901","title":"Achieving a constant power speed range for PM drives","year":2002,"lang":"en","type":"article","venue":"","topic":"Magnetic Properties of Alloys","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Chopper; Inverter; Magnet; Electrical engineering; Constant (computer programming); Power (physics); Flux (metallurgy); Automotive engineering; Range (aeronautics); Electromagnetic coil; Computer science; Control theory (sociology); Engineering; Physics; Materials science; Voltage; Aerospace engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000720892,0.0004256234,0.0002811615,0.0006247307,0.0006846178,0.002024036,0.001020019,0.0008173737,0.008665767],"category_scores_gemma":[0.003689683,0.0002181322,0.0001997859,0.0004905139,0.0009040672,0.002668411,0.0007721062,0.0009353662,0.003656846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004287492,"about_ca_system_score_gemma":0.0001995342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002150831,"about_ca_topic_score_gemma":0.0002886323,"domain_scores_codex":[0.9989995,0.000224196,0.00005922579,0.0001630729,0.0004789922,0.00007500477],"domain_scores_gemma":[0.9989931,0.0003545007,0.00008848037,0.0002422533,0.0002860527,0.0000356453],"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":[0.0002230611,0.00007761508,0.0008637462,0.0007043072,0.00001744308,0.0003279847,0.0006128108,0.0105204,0.03396907,0.3788519,0.01547097,0.5583607],"study_design_scores_gemma":[0.0001092322,0.0008595241,0.002360712,0.0003017081,0.00003575,0.004083265,0.000450558,0.05668573,0.09754687,0.2988662,0.5385996,0.0001008522],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03116179,0.003594409,0.7787159,0.003534785,0.0005818731,0.00013684,0.00009383525,0.001830621,0.18035],"genre_scores_gemma":[0.7068186,0.002936499,0.2439431,0.001206167,0.000743668,0.0002639815,0.0001866044,0.0006046846,0.04329666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008665767,"threshold_uncertainty_score":0.02898991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02707194951361376,"score_gpt":0.2291494272385614,"score_spread":0.2020774777249476,"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."}}