{"id":"W2125173986","doi":"10.1109/tpwrd.2009.2021030","title":"Multimode Control of a DFIG-Based Wind-Power Unit for Remote Applications","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Wind power; Induction generator; Robustness (evolution); Engineering; Control theory (sociology); Grid; Control reconfiguration; Power control; Grid connection; AC power; Computer science; Control engineering; Power (physics); Voltage; Electrical engineering; Control (management); Embedded system","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":[0.00007250612,0.0001799596,0.0002196778,0.0001915232,0.00009136221,0.00001696749,0.0001267532,0.0001204454,0.00009834778],"category_scores_gemma":[0.000001941489,0.0001926056,0.0001862834,0.0002048377,0.00002716855,0.0001074365,1.619454e-7,0.0001402452,0.00002115367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004431681,"about_ca_system_score_gemma":0.00003258895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009953392,"about_ca_topic_score_gemma":0.00000788754,"domain_scores_codex":[0.9991657,0.00001694396,0.0002939932,0.0001858231,0.0001185617,0.0002189538],"domain_scores_gemma":[0.9993274,0.000106307,0.00004489509,0.0002959716,0.0001523576,0.0000730728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001611246,0.0001374133,0.000001238508,0.00001789679,0.00006691535,5.183578e-7,0.00006370652,0.9550431,0.0211798,0.00002001537,0.0001143547,0.02319392],"study_design_scores_gemma":[0.003045283,0.0002522939,0.00007876705,0.0000384757,0.0001173132,0.000001764227,0.0000219057,0.9643326,0.02661847,0.00006597651,0.005160219,0.000266891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003839964,0.0002615275,0.9939881,0.0001175593,0.0001933923,0.000776901,0.0002595287,0.000246156,0.0003168664],"genre_scores_gemma":[0.9922761,0.00005962087,0.007190394,0.0003122904,0.00001706628,0.00004423086,0.00001286894,0.00003098309,0.00005647111],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9884361,"threshold_uncertainty_score":0.785423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007152346585160684,"score_gpt":0.2073205679412932,"score_spread":0.2001682213561325,"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."}}