{"id":"W2160706397","doi":"10.1109/ecce.2011.6063927","title":"Optimizing dual half bridge converter for full range soft switching and high efficiency","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Dual (grammatical number); Range (aeronautics); Bridge (graph theory); Computer science; Materials science","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":[0.0002083663,0.0003009421,0.0004058432,0.0002510252,0.0001675176,0.0004986564,0.0003847484,0.0003214068,0.001539099],"category_scores_gemma":[0.0003072933,0.0001753648,0.0001765939,0.0002541237,0.0001535081,0.0003767519,0.0002104332,0.0002647957,0.0003540021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001927642,"about_ca_system_score_gemma":0.0002104695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001390235,"about_ca_topic_score_gemma":0.0002833161,"domain_scores_codex":[0.9998771,0.0000181574,0.000006236287,0.00001716605,0.00006688413,0.00001445273],"domain_scores_gemma":[0.9999158,0.00003084017,0.00001288258,0.00001107984,0.0000244052,0.000004956628],"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":[0.0002933968,0.0001595129,0.001290742,0.0003807099,0.00003350154,0.0001729753,0.000153809,0.1213391,0.7063145,0.01072057,0.0007189217,0.1584221],"study_design_scores_gemma":[0.0001058134,0.0004614275,0.002259718,0.00002710705,0.00003136991,0.0003482904,0.0000736228,0.7399348,0.2454626,0.006051979,0.005215799,0.00002747433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4685535,0.0004519699,0.5144861,0.0001070111,0.00002139638,0.00006952039,0.00005625151,0.000367029,0.0158872],"genre_scores_gemma":[0.9534395,0.00009466423,0.04490083,0.0000139035,0.000004219786,0.00003879052,0.00002968992,0.00002745211,0.001450985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001539099,"threshold_uncertainty_score":0.005148828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01942654615277061,"score_gpt":0.2111083112472527,"score_spread":0.1916817650944821,"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."}}