{"id":"W4408865389","doi":"10.1109/oncon62778.2024.10931334","title":"Enhancing Power Quality in Distribution Systems through Bi-directional Solid-State Transformers","year":2024,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Power quality; Solid-state; Transformer; Distribution transformer; Computer science; Electrical engineering; Electronic engineering; Engineering; Engineering physics; Voltage","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":[0.0001994196,0.0001003648,0.0001244405,0.00004225731,0.00002646305,0.00007858182,0.00003066744,0.00005254593,0.00009080966],"category_scores_gemma":[0.000006223078,0.00009131826,0.00005010579,0.0002340826,0.000009278902,0.0002758519,0.000003067414,0.0001083224,0.00003982436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001600365,"about_ca_system_score_gemma":0.00001840276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002212082,"about_ca_topic_score_gemma":0.000231496,"domain_scores_codex":[0.9992781,0.00002120523,0.0002826488,0.0001335061,0.0001007465,0.0001837602],"domain_scores_gemma":[0.9998599,0.00003683369,0.000007580637,0.0000504059,0.00002017696,0.00002505823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002621964,0.00003055177,0.0001571184,0.0005277991,0.0001209119,0.00001143372,0.001480193,0.9426135,0.0420867,0.004661093,0.001641203,0.006643239],"study_design_scores_gemma":[0.0005107132,0.00002531181,0.001244106,0.0002141272,0.00001685684,0.00001401199,0.0003960914,0.9394951,0.02211203,0.0003133572,0.03523448,0.0004238418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03989039,0.003396262,0.9489458,0.00008985693,0.001448365,0.0001940561,0.00008235588,0.0006813266,0.005271595],"genre_scores_gemma":[0.9990438,0.0003669681,0.0001646576,0.00001221749,0.00004964509,0.00002423872,0.00009119632,0.0000150749,0.0002322263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9591534,"threshold_uncertainty_score":0.3723851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007143833284698572,"score_gpt":0.245817029930657,"score_spread":0.2386731966459585,"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."}}