{"id":"W2169272803","doi":"10.1109/ipec.2014.6869916","title":"A dual active bridge DC-DC converter with optimal DC-link voltage scaling and flyback mode for enhanced low-power operation in hybrid PV/storage systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Ontario Centres of Excellence","keywords":"Flyback converter; Flyback transformer; Electrical engineering; Computer science; Photovoltaic system; Energy storage; Electronic circuit; Power electronics; Forward converter; Electronic engineering; Voltage; Modular design; Power (physics); Engineering; Boost converter; Transformer; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001497835,0.000289443,0.0003546221,0.0003101838,0.000290455,0.0005884789,0.0008579805,0.0002841463,0.002449375],"category_scores_gemma":[0.0001272596,0.0001474375,0.0001218974,0.0004383083,0.0001580074,0.0004527232,0.0002262009,0.0004274365,0.0005594968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001990998,"about_ca_system_score_gemma":0.0001699077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002574012,"about_ca_topic_score_gemma":0.0006222147,"domain_scores_codex":[0.9998902,0.0000154601,0.00000852731,0.00002265983,0.00005331638,0.000009778976],"domain_scores_gemma":[0.9999461,0.000009167636,0.00000618423,0.000008699698,0.00002311349,0.000006675514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003848675,0.0002583989,0.0004296796,0.0003245663,0.00002011815,0.0001851571,0.0001325809,0.00434982,0.8143704,0.006236201,0.002165294,0.171143],"study_design_scores_gemma":[0.0002578092,0.001120358,0.002252733,0.00006887416,0.00005180315,0.001185368,0.00009436732,0.2550521,0.7097981,0.00485228,0.0251988,0.00006744977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.355259,0.001645092,0.6168117,0.0004604967,0.000259699,0.0002627425,0.0002873827,0.002558817,0.02245514],"genre_scores_gemma":[0.9473317,0.0002493034,0.04813076,0.00006634957,0.00002615495,0.00006110618,0.00006976383,0.00004551975,0.00401928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002449375,"threshold_uncertainty_score":0.00819391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005981995981516326,"score_gpt":0.2138959467776745,"score_spread":0.2079139507961582,"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."}}