{"id":"W2811436010","doi":"10.1109/tpwrd.2018.2850848","title":"Field Validated Generic EMT-Type Model of a Full Converter Wind Turbine Based on a Gearless Externally Excited Synchronous Generator","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Polytechnique Montréal","funders":"","keywords":"Turbine; Engineering; Wind power; Power electronics; Permanent magnet synchronous generator; Transient (computer programming); Rectifier (neural networks); Power optimizer; Fault (geology); Induction generator; Electrical engineering; Electronic engineering; Control theory (sociology); Control engineering; Computer science; Maximum power point tracking; Voltage; Mechanical engineering; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001128911,0.0003763942,0.0004337499,0.0003710345,0.00009023687,0.0000450544,0.0002761338,0.0002473512,0.000518636],"category_scores_gemma":[0.000004788268,0.0003713038,0.0001934082,0.0003725411,0.00006137746,0.0001620632,0.000001862132,0.0003175433,0.0001474188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001376508,"about_ca_system_score_gemma":0.00009688378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008280985,"about_ca_topic_score_gemma":0.00004175091,"domain_scores_codex":[0.9982945,0.00006692228,0.0004991849,0.0003804566,0.0003629531,0.0003960066],"domain_scores_gemma":[0.9987472,0.00009758088,0.00008033244,0.0006368213,0.0002785038,0.0001595096],"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":[0.0006764065,0.0002050596,0.00001321628,0.00006218548,0.0002178719,0.00002084029,0.0002332903,0.6474712,0.3483197,0.00000238621,0.001579553,0.001198207],"study_design_scores_gemma":[0.001407641,0.0009172616,0.00004688625,0.0001084644,0.00008374616,0.0000127789,0.00001145438,0.8839882,0.1128798,0.000002909396,0.0001894995,0.0003513581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4921877,0.00006153947,0.5055431,0.00003143052,0.001282353,0.0002506238,0.00009184758,0.0002018528,0.0003495469],"genre_scores_gemma":[0.9983358,0.00001322103,0.000658699,0.0005053593,0.0001404884,0.00002632346,0.000007756949,0.00009490474,0.0002174288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5061481,"threshold_uncertainty_score":0.9998739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01236731778869508,"score_gpt":0.2020162483925898,"score_spread":0.1896489306038948,"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."}}