{"id":"W2353591114","doi":"","title":"Optimal dynamic control based on capacitor charge balance for Boost converter","year":2011,"lang":"en","type":"article","venue":"Dianli zidonghua shebei","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Control theory (sociology); Duty cycle; Overshoot (microwave communication); Capacitor; MATLAB; Voltage; Charge control; Nonlinear system; Dynamic balance; Computer science; Engineering; Control (management); Electrical engineering; Physics; Power (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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002334929,0.0004165979,0.000550251,0.0001662652,0.0001748033,0.00004950957,0.0004082611,0.0002852602,0.0009284208],"category_scores_gemma":[0.00004893288,0.0003518912,0.000308869,0.000141685,0.000106259,0.0001545897,0.00002091807,0.0001593811,0.0004004378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001215894,"about_ca_system_score_gemma":0.00009278332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002384973,"about_ca_topic_score_gemma":0.000547054,"domain_scores_codex":[0.997785,0.00009151217,0.0004473388,0.0006015719,0.0002761971,0.0007983581],"domain_scores_gemma":[0.9985921,0.0001452518,0.000171893,0.0006953928,0.0001122097,0.0002831243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01936309,0.01051253,0.03397086,0.003033491,0.005545078,0.001351771,0.01205362,0.0509445,0.1002782,0.2835286,0.3220842,0.1573341],"study_design_scores_gemma":[0.01075775,0.0009889834,0.003157325,0.0002507216,0.0001268782,0.0000200306,0.0001347844,0.6720393,0.008653851,0.0002244024,0.3021774,0.001468593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2378254,0.002718513,0.3592523,0.00216655,0.03785133,0.005459418,0.00300322,0.002389957,0.3493332],"genre_scores_gemma":[0.989203,0.00001135792,0.0007284433,0.001467607,0.0005175429,0.0003892231,0.0001116488,0.0001098229,0.007461329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7513776,"threshold_uncertainty_score":0.9999849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184348662372298,"score_gpt":0.208078717321095,"score_spread":0.196235230697372,"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."}}