{"id":"W4410918840","doi":"10.1049/esi2.70008","title":"High‐Power Voltage Source Converter for Integration of Battery in Power System","year":2025,"lang":"en","type":"article","venue":"IET Energy Systems Integration","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"National Science Council; Department of Science and Technology, Ministry of Science and Technology, India; Arthritis National Research Foundation","keywords":"Electrical engineering; Battery (electricity); Power (physics); Voltage; Boost converter; Computer science; Engineering; Physics","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":[0.00007262273,0.000163787,0.0002231885,0.0001720299,0.0001583134,0.0003685531,0.0003911669,0.000183007,0.004033348],"category_scores_gemma":[0.0001011399,0.000080509,0.0001332629,0.0002743963,0.0000717299,0.0002838844,0.0001506669,0.0002666789,0.0005619124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001762131,"about_ca_system_score_gemma":0.0001742668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005682687,"about_ca_topic_score_gemma":0.001088455,"domain_scores_codex":[0.9999214,0.00001080113,0.000004126412,0.000009975111,0.00004716919,0.000006435504],"domain_scores_gemma":[0.9999596,0.000005744231,0.000004369614,0.000007386494,0.00002012992,0.000002684432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000518864,0.0003352304,0.002721868,0.0009261465,0.000137559,0.000766419,0.0002131251,0.1107708,0.4639344,0.01445305,0.008501266,0.3967213],"study_design_scores_gemma":[0.00009657333,0.000724886,0.005467161,0.000072118,0.00006934126,0.0005605664,0.00008631008,0.7480367,0.2059827,0.006304126,0.03257276,0.00002680947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.308852,0.001420928,0.6173145,0.0003152956,0.0002434153,0.0002208772,0.0004821371,0.00455262,0.06659827],"genre_scores_gemma":[0.9807929,0.0001341622,0.01457809,0.00002170685,0.00001070535,0.00002872029,0.0001141975,0.00003003426,0.004289436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004033348,"threshold_uncertainty_score":0.01349294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006677275945025011,"score_gpt":0.1996153287551366,"score_spread":0.1929380528101116,"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."}}