{"id":"W2075858233","doi":"10.11591/telkomnika.v11i7.2843","title":"A Novel Unit Power Factor Rectifier Based on Three-phase Digital PLL","year":2013,"lang":"en","type":"article","venue":"TELKOMNIKA Indonesian Journal of Electrical Engineering","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phase-locked loop; Rectifier (neural networks); Power factor; Power (physics); Factor (programming language); Phase (matter); Unit (ring theory); Electronic engineering; Computer science; Engineering; Mathematics; Physics; Artificial intelligence; Jitter","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002809557,0.0003907277,0.0006585989,0.0003679505,0.0003042415,0.00105019,0.001569264,0.0007248182,0.006106085],"category_scores_gemma":[0.0003531154,0.0002327472,0.0005034279,0.0007050726,0.0002565856,0.00122001,0.000405914,0.000591978,0.00300168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002746686,"about_ca_system_score_gemma":0.0003097446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002378568,"about_ca_topic_score_gemma":0.0003482819,"domain_scores_codex":[0.9995102,0.00006315878,0.00004419288,0.0001391557,0.000214372,0.00002897897],"domain_scores_gemma":[0.9998165,0.00003428082,0.00003297154,0.00003276575,0.00006899189,0.00001446142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004930374,0.0002312731,0.001069665,0.001144264,0.0001177491,0.0005055691,0.0002382607,0.0111445,0.403226,0.02869943,0.00672954,0.5464007],"study_design_scores_gemma":[0.0007028133,0.002988152,0.002217095,0.0001710572,0.0003390085,0.005492217,0.0001234789,0.4910339,0.2888652,0.01455423,0.1933626,0.000150115],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009502203,0.0006868425,0.9760597,0.0001359341,0.0002069791,0.0001244689,0.0000639983,0.001949398,0.01127048],"genre_scores_gemma":[0.6959564,0.001258272,0.2830229,0.0003667427,0.0003205817,0.000210379,0.0002648773,0.000192614,0.01840726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006106085,"threshold_uncertainty_score":0.02042687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007073361141854433,"score_gpt":0.1903049614938896,"score_spread":0.1832316003520351,"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."}}