{"id":"W2149102138","doi":"10.1109/tpel.2006.882922","title":"A New Duty Cycle Control Strategy for Power Factor Correction and FPGA Implementation","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Queen's University","funders":"","keywords":"Duty cycle; Bottleneck; Electronic engineering; Voltage; Field-programmable gate array; Power factor; Inductor; Computer science; Digital control; Control theory (sociology); Engineering; Electrical engineering; Control (management); Computer hardware; Embedded system","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":[0.00003915734,0.0002187673,0.0001730387,0.0001148751,0.0001167193,0.00004604708,0.00005925308,0.00009676844,0.0001999538],"category_scores_gemma":[9.780148e-7,0.0002485307,0.00008128661,0.0001349266,0.00001482889,0.0002710821,2.738899e-7,0.0002260315,0.00001130453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003011532,"about_ca_system_score_gemma":0.00006873555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006971674,"about_ca_topic_score_gemma":0.0007287572,"domain_scores_codex":[0.9989552,0.00001367222,0.0002426154,0.0002378092,0.0001239338,0.0004267276],"domain_scores_gemma":[0.9996143,0.00007576867,0.00003867385,0.0001523084,0.00004015058,0.00007878087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003765871,0.0001412642,0.00002759211,0.00003628104,0.0002675503,0.000002995474,0.0004176324,0.2690313,0.04271723,0.0004206,0.004188172,0.6823727],"study_design_scores_gemma":[0.02093837,0.004535182,0.003143364,0.00005930025,0.0005087351,0.0001398067,0.0008709108,0.6031055,0.3123537,0.007699635,0.04383985,0.002805677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02009458,0.0002401239,0.977639,0.00006833441,0.0009051671,0.0005330489,0.00008210537,0.0003119056,0.0001257669],"genre_scores_gemma":[0.9989402,0.00004488156,0.0004526204,0.00006541196,0.00002825663,0.00007473754,0.00001105673,0.00005962725,0.0003231596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9788457,"threshold_uncertainty_score":0.9999967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004974994928454519,"score_gpt":0.2371995249388794,"score_spread":0.2322245300104249,"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."}}