{"id":"W2900111440","doi":"10.1109/tia.2018.2879790","title":"Universal Input AC Three-Phase Power Factor Correction With Adaptive Intermediate Bus Voltage to Optimize Efficiency","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Delta-Q Technologies (Canada); University of British Columbia","funders":"","keywords":"Power factor; AC power; Voltage; Power (physics); Computer science; Three-phase; Factor (programming language); Phase (matter); Control theory (sociology); Electrical engineering; Electronic engineering; Engineering; 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"],"consensus_categories":[],"category_scores_codex":[0.00003481775,0.000263816,0.0001766367,0.0002382969,0.0002683548,0.00004534138,0.0002457519,0.000273959,0.0006960743],"category_scores_gemma":[0.000001242438,0.0002583889,0.00006401259,0.0006037747,0.0001520153,0.0001974738,0.000002148107,0.0006669253,0.0003436443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002259782,"about_ca_system_score_gemma":0.00006102682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000546259,"about_ca_topic_score_gemma":0.0001080731,"domain_scores_codex":[0.9989143,0.0000124811,0.0002178883,0.0003557242,0.0001816402,0.000317962],"domain_scores_gemma":[0.9991194,0.00004967615,0.00004116699,0.0004173872,0.0001211438,0.0002512364],"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":[0.0007954757,0.001434223,0.0000908053,0.00003197476,0.0005598963,0.00001539951,0.005649952,0.2493937,0.0153194,0.0001411412,0.007649811,0.7189183],"study_design_scores_gemma":[0.002242669,0.001277455,0.0006070136,0.0001136211,0.0001241062,0.0000247184,0.001421207,0.9297254,0.05461775,0.00001752602,0.008936041,0.0008924523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04521414,0.000002564162,0.9509267,0.00006346593,0.0009794575,0.0006952763,0.0001860966,0.0004084901,0.001523791],"genre_scores_gemma":[0.9978483,0.00000310195,0.0007573973,0.0001460301,0.00009799741,0.0004323619,0.000005790399,0.00004975393,0.0006592498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9526342,"threshold_uncertainty_score":0.9999868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0160270411188093,"score_gpt":0.2405712876835188,"score_spread":0.2245442465647095,"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."}}