{"id":"W2942927452","doi":"10.1049/pbpo115e_ch10","title":"Bipolar-type DC microgrids for high-quality power distribution","year":2018,"lang":"en","type":"book-chapter","venue":"Institution of Engineering and Technology eBooks","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Flexibility (engineering); Reliability (semiconductor); Renewable energy; Engineering; Electrical engineering; Power transmission; Power (physics); Transmission (telecommunications); Computer science; Electronic engineering; Reliability engineering; Economics","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":[0.00006525621,0.0005715774,0.000283856,0.000673702,0.0003540559,0.0009340922,0.0004735292,0.0003735651,0.02233276],"category_scores_gemma":[0.00008211979,0.0002073271,0.0002335065,0.001317312,0.0001821107,0.0009117563,0.0003373856,0.0006500485,0.008511206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003944857,"about_ca_system_score_gemma":0.0002089108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004637981,"about_ca_topic_score_gemma":0.001117017,"domain_scores_codex":[0.9999489,0.000004424178,0.000002304311,0.0000112448,0.00002881712,0.000004394226],"domain_scores_gemma":[0.9999739,0.000004973944,0.000002368657,0.000003752207,0.00001145791,0.000003535069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008935351,0.00006271021,0.000158272,0.002006805,0.00003073848,0.000267031,0.0002226172,0.006544348,0.02608173,0.1299533,0.1133682,0.721215],"study_design_scores_gemma":[0.000009521327,0.0000543799,0.0002664282,0.0002887212,0.00001439803,0.0006580292,0.00005120239,0.003934854,0.004823178,0.01667935,0.973206,0.00001400005],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007556965,0.1505572,0.1531935,0.00100834,0.003225219,0.0001730525,0.0005639479,0.001292983,0.6824288],"genre_scores_gemma":[0.120311,0.155016,0.06620437,0.0007605334,0.001105814,0.0001445406,0.0008733332,0.0004385339,0.6551459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02233276,"threshold_uncertainty_score":0.07471049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006769547486543016,"score_gpt":0.1955107499387761,"score_spread":0.1887412024522331,"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."}}