{"id":"W4402626947","doi":"10.1109/mcs.2024.3432342","title":"Floating Offshore Wind Farm Control via Turbine Repositioning: Unlocking the Potential Unique to Floating Offshore Wind","year":2024,"lang":"en","type":"article","venue":"IEEE Control Systems","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Offshore wind power; Marine engineering; Turbine; Submarine pipeline; Wind power; Environmental science; Control (management); Engineering; Automotive engineering; Computer science; Mechanical engineering; Electrical engineering; Geotechnical engineering","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":[0.001263987,0.0004601846,0.0005912071,0.000268868,0.0004544185,0.0008330718,0.0004303408,0.0002149293,0.00001693157],"category_scores_gemma":[0.0001073733,0.000357215,0.0002025647,0.000554518,0.00004971238,0.0001994271,0.00004639908,0.0006581335,0.00008044932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003996682,"about_ca_system_score_gemma":0.0001472966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003404024,"about_ca_topic_score_gemma":0.00004974419,"domain_scores_codex":[0.9965433,0.0002558742,0.0008987971,0.000544931,0.0007723561,0.0009846657],"domain_scores_gemma":[0.9985197,0.0003456197,0.00008087864,0.0004894005,0.0002128155,0.0003515985],"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":[0.00006224116,0.00001471317,0.0003181582,0.0002863572,0.0005715073,0.0003140374,0.0008577101,0.8981328,0.09271997,0.000364372,0.002048593,0.004309544],"study_design_scores_gemma":[0.001454013,0.0001193877,0.0008273635,0.001082219,0.000100958,0.000309901,0.0005758429,0.9775561,0.003854198,0.00005797463,0.01344228,0.0006197753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4050031,0.009088071,0.5589001,0.002150204,0.01005053,0.003680152,0.0001372135,0.002310421,0.008680189],"genre_scores_gemma":[0.9963341,0.00001089505,0.0001761123,0.000174502,0.002508292,0.00008627721,0.00002473929,0.000124836,0.0005602656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.591331,"threshold_uncertainty_score":0.999888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007370415168369505,"score_gpt":0.216858592269786,"score_spread":0.2094881771014165,"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."}}