{"id":"W2903750072","doi":"10.1109/tie.2018.2881951","title":"On-Board Microgrids for the More Electric Aircraft—Technology Review","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":260,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"National Natural Science Foundation of China","keywords":"Redundancy (engineering); Converters; Reliability engineering; Reliability (semiconductor); Electric power system; Engineering; Voltage; Automotive engineering; Power density; Power (physics); Power electronics; Electrical engineering; Computer science","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":[0.0004757049,0.0008230292,0.0007593437,0.0009247948,0.000196952,0.0008691293,0.0008806591,0.0007545807,0.002534187],"category_scores_gemma":[0.0006761263,0.0002966328,0.0004612571,0.002008341,0.0002503259,0.001435925,0.0005809767,0.0006483191,0.001481443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003331793,"about_ca_system_score_gemma":0.000799451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008911734,"about_ca_topic_score_gemma":0.0009593588,"domain_scores_codex":[0.9998307,0.00002666981,0.00001854688,0.00004137877,0.00006129084,0.00002139953],"domain_scores_gemma":[0.9994998,0.000208911,0.00007307002,0.00002555886,0.0001569849,0.00003567076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008453605,0.0001170479,0.000504291,0.01689657,0.0001167897,0.0002701317,0.00009478402,0.007241083,0.00419168,0.01373935,0.01709155,0.9396521],"study_design_scores_gemma":[0.00001674531,0.0003783012,0.001281681,0.004583252,0.0002234909,0.001189659,0.0002292679,0.003144177,0.00323444,0.005284236,0.9803904,0.0000442066],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001783796,0.9853871,0.005423167,0.0003515733,0.0003821751,0.0000263413,0.00004300987,0.00003834483,0.00656458],"genre_scores_gemma":[0.01056119,0.9831963,0.003899434,0.0001733272,0.0002897467,0.0000211488,0.0001009326,0.00001339829,0.001744581],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002534187,"threshold_uncertainty_score":0.008477688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312566523105089,"score_gpt":0.2337375701439524,"score_spread":0.2206119049129016,"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."}}