{"id":"W1974910238","doi":"10.1109/ccece.2010.5575133","title":"Wind turbine rotor modelling using response surface methodology","year":2010,"lang":"en","type":"article","venue":"","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Rotor (electric); Turbine; Wind power; Wind speed; Parametric statistics; Response surface methodology; Power (physics); Control theory (sociology); Design of experiments; Maximum power principle; Computer science; Engineering; Mechanical engineering; Mathematics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006497446,0.0007207704,0.0006870116,0.0004978333,0.0001743161,0.000613521,0.0007494286,0.0009401279,0.002967577],"category_scores_gemma":[0.0009171217,0.0003592031,0.000976683,0.0004825962,0.0002219535,0.000511999,0.0002339022,0.000519619,0.001423766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002058372,"about_ca_system_score_gemma":0.000430225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002042133,"about_ca_topic_score_gemma":0.001462293,"domain_scores_codex":[0.9996426,0.000133813,0.00001849424,0.00004772287,0.0001354273,0.00002205544],"domain_scores_gemma":[0.9997482,0.0001187657,0.00002994497,0.00002813203,0.00007028299,0.000004640341],"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":[0.00001962507,0.00002873836,0.0002317442,0.00009946836,0.00003019422,0.00005090973,0.00003185922,0.9640567,0.01074537,0.004221306,0.0004093289,0.02007479],"study_design_scores_gemma":[0.000003360497,0.00001681477,0.00008360921,0.000002938016,0.000002890423,0.000009363014,0.000004327839,0.9971533,0.001062012,0.0007356786,0.0009221772,0.000003643895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008666568,0.0001152442,0.9876747,0.00004179796,0.00001607142,0.00005177406,0.0001194945,0.000736462,0.002577847],"genre_scores_gemma":[0.6006172,0.0008552081,0.3873498,0.00006376424,0.00003798735,0.0006974344,0.0007279061,0.00047963,0.009170994],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002967577,"threshold_uncertainty_score":0.009927511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09279555763702846,"score_gpt":0.3057367172214228,"score_spread":0.2129411595843944,"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."}}