{"id":"W2809624019","doi":"10.1109/tmag.2018.2843800","title":"A New Brushless AC Electromagnetic Generator Design Using an Experimental and Design Optimization Approach","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stator; Rotor (electric); Generator (circuit theory); Electromagnetic coil; Torque; Magnet; Voltage; Electric generator; Air gap (plumbing); Power (physics); Computer science; Halbach array; Permanent magnet synchronous generator; Induction generator; Control theory (sociology); Electrical engineering; Physics; Engineering; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006045319,0.0003950337,0.0003896306,0.0003435208,0.0001913401,0.0005475419,0.0005819139,0.0004248192,0.002573214],"category_scores_gemma":[0.000633468,0.0002154287,0.0003286582,0.0002078718,0.0002719964,0.0005242307,0.000179087,0.0003835939,0.0003909764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002502698,"about_ca_system_score_gemma":0.0003104314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001653414,"about_ca_topic_score_gemma":0.0002721385,"domain_scores_codex":[0.9997684,0.00004458117,0.00001016149,0.00002955382,0.0001379777,0.000009270586],"domain_scores_gemma":[0.9997582,0.00007571432,0.00004425092,0.00002581291,0.00008578256,0.00001024005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000209176,0.0002533323,0.001048353,0.001377811,0.00009825584,0.0002285041,0.0001422773,0.4141584,0.241432,0.04084842,0.002046896,0.2981565],"study_design_scores_gemma":[0.0000843398,0.0006024385,0.0004923803,0.00002856581,0.00003747027,0.0001603021,0.00001936527,0.9327646,0.04200339,0.002947723,0.02083998,0.00001951976],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0189527,0.0003172881,0.9715858,0.00009916427,0.00005268051,0.0001340081,0.00003211138,0.0002606439,0.008565628],"genre_scores_gemma":[0.4294643,0.0004575959,0.5628846,0.00005063393,0.00004946902,0.0003288931,0.00009811237,0.0001028303,0.006563573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002573214,"threshold_uncertainty_score":0.008608282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03123452384669372,"score_gpt":0.2330544141908141,"score_spread":0.2018198903441204,"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."}}