{"id":"W2093704006","doi":"10.1109/ecce.2013.6647136","title":"Estimation of wake effect in wind farms using design of experiment methodology","year":2013,"lang":"en","type":"article","venue":"","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Wake; Turbine; Wind power; Wind speed; Wind profile power law; Marine engineering; RADIUS; Meteorology; Environmental science; Wind direction; Computer science; Engineering; Aerospace engineering; Physics; Electrical 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":[],"consensus_categories":[],"category_scores_codex":[0.0003580152,0.000061471,0.0001579707,0.0001170021,0.000005333695,0.000003339454,0.00004924406,0.00004057882,0.000192043],"category_scores_gemma":[0.00004509888,0.00004904461,0.00001570059,0.0001028703,0.00001628024,0.00006011752,0.00001674909,0.00003817492,0.000006281514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003420074,"about_ca_system_score_gemma":0.00001555097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001834114,"about_ca_topic_score_gemma":0.000001556121,"domain_scores_codex":[0.9994319,0.0000970736,0.0001803828,0.00005916141,0.00009263739,0.0001388586],"domain_scores_gemma":[0.9996812,0.0001818907,0.00001409145,0.00007585913,0.00001546057,0.0000315363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006721423,0.000009113593,0.000487339,0.00004059501,0.00001507024,5.230639e-7,0.0002155721,0.7439374,0.2429073,0.00003787814,0.00004838006,0.0122941],"study_design_scores_gemma":[0.0001724824,0.00004754928,0.002097045,0.00001434553,0.000001036894,6.072113e-7,0.00003747464,0.3889553,0.6084902,0.0001446988,0.000001538532,0.0000377739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6539442,0.00006228682,0.345282,0.000003729763,0.00002981653,0.0001230119,9.64235e-8,0.00001341432,0.0005414591],"genre_scores_gemma":[0.799891,0.000004312079,0.2000632,0.000002376568,0.000003536404,0.00001290648,8.577462e-7,0.000006008311,0.00001578421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3655828,"threshold_uncertainty_score":0.2102737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07950681034126961,"score_gpt":0.319532035290035,"score_spread":0.2400252249487654,"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."}}