{"id":"W2072862367","doi":"10.1260/0309-524x.35.3.339","title":"Preliminary Assessment of Wind Turbine Blade Lift Control via Plasma Actuation","year":2011,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Plasma and Flow Control in Aerodynamics","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Polytechnique Montréal","funders":"","keywords":"Plasma actuator; Aerodynamics; Lift (data mining); Airfoil; Actuator; Lift coefficient; Turbine; Wind tunnel; Boundary layer; Computational fluid dynamics; Flow control (data); Marine engineering; Blade pitch; Aerospace engineering; Angle of attack; Flow separation; Turbine blade; Wind power; Engineering; Mechanics; Plasma; Physics; Computer science; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001491364,0.0002596963,0.0003317113,0.0001645428,0.00002577537,0.00001359487,0.0001925797,0.0001573838,0.00006090654],"category_scores_gemma":[0.00002747697,0.0002776486,0.00009387386,0.0001527889,0.00001973374,0.0002153636,0.00002385443,0.000269497,0.00001541023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008575054,"about_ca_system_score_gemma":0.0000175316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008642885,"about_ca_topic_score_gemma":0.000002466913,"domain_scores_codex":[0.9988921,0.00000950797,0.0003821464,0.0001768545,0.0001949566,0.0003443765],"domain_scores_gemma":[0.9994387,0.00008877945,0.00005174733,0.0002713859,0.00004041979,0.0001089753],"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":[0.00002886171,0.0000448004,0.0007859639,0.0001303965,0.0001890882,0.00001527841,0.00034294,0.8904387,0.1054906,0.0002629819,0.00003649895,0.002233823],"study_design_scores_gemma":[0.0009285808,0.0001118782,0.05632442,0.00005553083,0.00006767814,0.00001594566,0.00001287108,0.9377075,0.004316435,0.00002019765,0.0001786496,0.0002602411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7878425,0.0001096184,0.2075955,0.00001210743,0.0007646998,0.0002536614,0.00002597203,0.000357673,0.003038298],"genre_scores_gemma":[0.9934534,0.00001948631,0.006271705,0.000009050555,0.0001215531,0.00001194571,0.00001735546,0.00006568464,0.00002978183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2056109,"threshold_uncertainty_score":0.9999676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007509245629112436,"score_gpt":0.1854271333206891,"score_spread":0.1779178876915767,"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."}}