{"id":"W2087180910","doi":"10.1109/ipemc.2009.5157551","title":"A novel AC-DC converter for PMSG variable speed wind energy conversion systems","year":2009,"lang":"en","type":"article","venue":"","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Rectifier (neural networks); Topology (electrical circuits); Control theory (sociology); Wind power; Computer science; Energy transformation; Precision rectifier; Power (physics); Electronic engineering; Voltage; Power factor; Engineering; Electrical engineering; Physics; Control (management)","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":[0.0001644463,0.0002424304,0.0003893689,0.0000997419,0.00005151109,0.00008668546,0.0001930379,0.0001782172,0.00008499908],"category_scores_gemma":[0.00001712927,0.0002173794,0.00009324542,0.0001419486,0.00001007224,0.0002064427,0.00001337664,0.00007790238,0.0000645153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117067,"about_ca_system_score_gemma":0.00002478991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003112764,"about_ca_topic_score_gemma":0.000003419548,"domain_scores_codex":[0.998788,0.00001338758,0.0003527782,0.0002465984,0.0001780027,0.0004212511],"domain_scores_gemma":[0.9993268,0.0000856855,0.00004545235,0.0003177703,0.00009168071,0.0001326306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001480625,0.0001742328,0.0001839277,0.0005592199,0.0004582196,0.00001355926,0.0002116207,0.08969973,0.6900263,0.07122931,0.1459896,0.001306136],"study_design_scores_gemma":[0.003099246,0.0001169063,0.0001568533,0.00007034919,0.00004107355,0.00003673256,0.00005014753,0.848666,0.004212732,0.00007472593,0.1431039,0.0003713124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01044235,0.0009186738,0.8996283,0.0003566372,0.005301945,0.001372623,0.00007642702,0.001449179,0.08045387],"genre_scores_gemma":[0.9895163,0.000004015646,0.0006751585,0.0002869939,0.0005962255,0.00001332461,0.00002924898,0.00004372554,0.008834979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.979074,"threshold_uncertainty_score":0.8864477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008947938240481807,"score_gpt":0.1841416577958973,"score_spread":0.1751937195554155,"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."}}