{"id":"W2065359086","doi":"10.1109/tia.2010.2091474","title":"An Adaptive Energy Storage Technique for Efficiency Improvement of Single-Stage Three-Level Resonant AC/DC Converters","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Converters; Voltage; Power (physics); Power factor; Electronic engineering; Control theory (sociology); Inductor; Energy storage; Engineering; Computer science; Electrical engineering; Physics; Control (management)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001041298,0.000264853,0.0002249688,0.000210069,0.0001912681,0.00001722119,0.0003585651,0.0004407187,0.00006853179],"category_scores_gemma":[0.000002292654,0.0002944419,0.0001095635,0.0003739432,0.0001361556,0.0002035537,0.000001793101,0.0007190508,0.000004714906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001492471,"about_ca_system_score_gemma":0.00006868971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005408639,"about_ca_topic_score_gemma":0.0002205295,"domain_scores_codex":[0.9987119,0.00000990088,0.0003911846,0.0003787175,0.0001824551,0.0003258747],"domain_scores_gemma":[0.9987634,0.00009750175,0.00009724691,0.0007525586,0.000121273,0.0001680004],"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":[0.00002911444,0.0003194585,0.000001564595,0.00002858636,0.00003821164,4.050082e-7,0.00007035177,0.01714054,0.8126176,0.0008571238,0.00002868633,0.1688683],"study_design_scores_gemma":[0.0005208583,0.0003878852,0.00002220255,0.00002437931,0.00005175548,0.00000421598,0.0003174495,0.1710714,0.8235534,0.0002739266,0.003402104,0.0003704077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004846667,0.000006916855,0.9922304,0.00005734487,0.0002877423,0.001298653,0.0008452926,0.0003060918,0.0001209635],"genre_scores_gemma":[0.9805918,0.000004877732,0.01447636,0.00004757521,0.00005315566,0.00455579,0.00001967005,0.00007136127,0.0001794562],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9777539,"threshold_uncertainty_score":0.9999508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02496143062525424,"score_gpt":0.2490080452724523,"score_spread":0.224046614647198,"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."}}