{"id":"W2172282036","doi":"10.1109/apec.2001.911639","title":"Digital control with improved performance for boost power factor correction circuits","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Controller (irrigation); Digital control; Control (management); Power (physics); Electronic circuit; Factor (programming language); Regulator; Digital electronics; Control theory (sociology); Control engineering; Electronic engineering; Engineering; Electrical engineering; Artificial intelligence","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":[0.00000914215,0.0001352417,0.0001188306,0.00003751619,0.00003692158,0.00004110056,0.00005725006,0.00004066653,0.000199254],"category_scores_gemma":[0.00001194559,0.0001134297,0.00003278282,0.00006093837,0.00001571695,0.000520183,0.00000371316,0.00007243649,0.00006270274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006554362,"about_ca_system_score_gemma":0.000002890408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.688124e-7,"about_ca_topic_score_gemma":0.000003340279,"domain_scores_codex":[0.9994615,0.000001167882,0.0001084395,0.0001319077,0.00006741623,0.0002295144],"domain_scores_gemma":[0.9997136,0.00004198852,0.00001795769,0.0001293386,0.00003801423,0.00005908232],"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":[0.00003716046,0.00002735102,0.002839124,0.00003903374,0.00007932181,0.000001136003,0.0002012632,0.001454745,0.007439798,0.000009977327,0.001632345,0.9862387],"study_design_scores_gemma":[0.001407188,0.0002216859,0.001677777,0.00001103108,0.000007326999,0.00001111254,0.00004370029,0.9869061,0.002124574,0.000001381444,0.007351931,0.0002362299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06959916,0.0000381658,0.9171436,0.00002310591,0.0007741148,0.0004700427,0.00002914128,0.0005566441,0.01136601],"genre_scores_gemma":[0.9953037,0.000005337441,0.0001324647,0.00006110204,0.00003649453,0.00004639075,0.000004139727,0.00003900076,0.004371366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9860025,"threshold_uncertainty_score":0.4625531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00568357446352583,"score_gpt":0.164227018101013,"score_spread":0.1585434436374871,"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."}}