{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001776005,0.0002935082,0.0001647029,0.0002203079,0.0001857974,0.0007332297,0.0002917776,0.0001965813,0.001728514],"category_scores_gemma":[0.0004086293,0.0001000054,0.0001812398,0.0004944896,0.0002592761,0.0006760787,0.0003026654,0.0002688532,0.0003557522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002982632,"about_ca_system_score_gemma":0.0003183733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001173891,"about_ca_topic_score_gemma":0.001858257,"domain_scores_codex":[0.9998236,0.00005405007,0.00001261207,0.00001988518,0.00007671865,0.00001303608],"domain_scores_gemma":[0.9998023,0.00004495729,0.00006508765,0.00002373158,0.000054247,0.000009718952],"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":[0.0008065855,0.0002214581,0.006599349,0.0008177278,0.00008497267,0.0004073588,0.0003175177,0.3294952,0.3023068,0.02870105,0.002632775,0.3276092],"study_design_scores_gemma":[0.000202638,0.001826264,0.004425955,0.0001023396,0.0001272908,0.0007694663,0.000211304,0.8489916,0.105487,0.01828211,0.01953552,0.0000384633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2329255,0.0008633491,0.7454593,0.0002627853,0.0000740632,0.00009285691,0.000165613,0.001279929,0.01887659],"genre_scores_gemma":[0.9869412,0.0002411897,0.01204461,0.00001235761,0.000006393185,0.000007368644,0.00003010574,0.00001393283,0.0007030059],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001728514,"threshold_uncertainty_score":0.005782425,"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."}}