{"id":"W2462979812","doi":"10.1109/cjece.2016.2520664","title":"Offshore Wind Farm Power Control Using HVdc Link","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Offshore wind power; Wind power; Marine engineering; Converters; Grid; Power (physics); Engineering; AC power; Power control; Wind speed; Control theory (sociology); Power optimizer; Electric power system; Voltage; Control (management); Automotive engineering; Electrical engineering; Computer science; Maximum power point tracking; Meteorology; Inverter; Physics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000126289,0.0001849517,0.0003352134,0.0003367706,0.0000373979,0.00006395123,0.0001613653,0.00009880075,0.00001294892],"category_scores_gemma":[0.00003553449,0.0001368933,0.00009227774,0.0001796909,0.00001596126,0.0001202184,0.000005753501,0.0002357108,0.000002833186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001897547,"about_ca_system_score_gemma":0.0001175083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005865721,"about_ca_topic_score_gemma":0.00005452134,"domain_scores_codex":[0.9989589,0.00001470133,0.0003585873,0.000105412,0.0001139791,0.0004484507],"domain_scores_gemma":[0.9990227,0.0001130543,0.00004697301,0.00009934287,0.00008369413,0.0006342015],"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":[0.00006460203,0.00002988606,0.02849576,0.0001953497,0.001756499,0.002357875,0.0007261896,0.6464787,0.05928332,0.00425431,0.003217572,0.25314],"study_design_scores_gemma":[0.002617687,0.0003172343,0.02254976,0.000369963,0.00007307824,0.001678324,0.000003254515,0.9426651,0.000467887,0.00007952204,0.02857211,0.0006060724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4796222,0.005289393,0.5128994,0.0003308153,0.001534934,0.000134995,0.000009133551,0.00006685249,0.0001123579],"genre_scores_gemma":[0.9982504,0.00001002234,0.0006151712,0.00005453903,0.001022323,3.796714e-7,1.494732e-7,0.00003500751,0.00001205447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5186282,"threshold_uncertainty_score":0.5582348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004343555446520015,"score_gpt":0.1541565804536837,"score_spread":0.1498130250071637,"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."}}