{"id":"W2100092445","doi":"10.6113/jpe.2011.11.3.327","title":"Piecewise Affine Control Design for Power Factor Correction Rectifiers","year":2011,"lang":"en","type":"article","venue":"Journal of Power Electronics","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Nonlinear system; Power factor; Mathematics; Linear matrix inequality; Affine transformation; Multiplier (economics); Piecewise linear function; Power (physics); Computer science; Mathematical optimization; Control (management); Mathematical analysis; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002793884,0.0002092678,0.000327238,0.0001837283,0.00004783658,0.00002011156,0.0001955447,0.0001192772,0.0002338796],"category_scores_gemma":[0.0001559309,0.0001964309,0.000195448,0.0001483041,0.00002188873,0.0003506678,0.000005993401,0.0004485638,0.00001082571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004685013,"about_ca_system_score_gemma":0.000115581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.933121e-7,"about_ca_topic_score_gemma":0.00000490829,"domain_scores_codex":[0.9987454,0.00003565659,0.0004445036,0.0001226056,0.0001838541,0.0004679392],"domain_scores_gemma":[0.999099,0.0001649353,0.0002090904,0.0001666302,0.0002250921,0.0001353135],"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":[0.008116219,0.0007548347,0.000901875,0.000124719,0.003768703,0.0001455532,0.009806099,0.03304723,0.3041893,0.001212472,0.1065614,0.5313715],"study_design_scores_gemma":[0.0254641,0.02035374,0.004335661,0.0003601366,0.001080786,0.001876679,0.001465121,0.3570743,0.2600025,0.008476066,0.3158494,0.003661567],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01202058,0.001453529,0.9821496,0.00004261741,0.003558036,0.0002824214,0.000004759839,0.00008975288,0.0003986958],"genre_scores_gemma":[0.993969,0.00017642,0.005370765,0.00007987982,0.00009888935,0.000009226219,6.13735e-7,0.00007027812,0.0002248878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9819484,"threshold_uncertainty_score":0.8010221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488798952887027,"score_gpt":0.2139377961512764,"score_spread":0.1990498066224061,"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."}}