{"id":"W4292510263","doi":"10.1016/j.oceaneng.2022.111806","title":"Probability density analysis of nonlinear stochastic dynamics of horizontal axis wind turbine blades","year":2022,"lang":"en","type":"article","venue":"Ocean Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Turbine blade; Vibration; Blade element momentum theory; Finite element method; Blade (archaeology); Nonlinear system; Probability density function; Control theory (sociology); Blade element theory; Structural engineering; White noise; Random vibration; Mechanics; Noise (video); Instability; Turbine; Engineering; Physics; Mathematics; Acoustics; Aerodynamics; Computer science; Mechanical 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":[0.0002491823,0.0001558785,0.0003758344,0.0004107947,0.00004185348,0.00000675312,0.0001975513,0.00003733346,0.00007982335],"category_scores_gemma":[0.00005839236,0.0001731574,0.0001440469,0.001108515,0.00002873292,0.00005540824,0.0001383404,0.0002286484,5.849705e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002737689,"about_ca_system_score_gemma":0.0000372756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004157007,"about_ca_topic_score_gemma":0.00003215035,"domain_scores_codex":[0.9988325,0.00001464346,0.0003273467,0.0001731899,0.000369417,0.0002829508],"domain_scores_gemma":[0.9994871,0.00006058951,0.00003557845,0.0002606795,0.00005622719,0.00009983464],"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":[0.00001546087,0.00004648863,0.001931548,0.0001121781,0.0006123412,0.000005183846,0.000182789,0.9941937,0.002347675,0.0001630976,0.00002033445,0.0003691667],"study_design_scores_gemma":[0.0001681837,0.00007042531,0.0141785,0.000009854229,0.0001082323,0.00000294759,0.00008499319,0.9825757,0.002567513,0.00002227084,0.00004213738,0.0001692446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978252,0.00009080169,0.0211111,0.000009813342,0.0001165192,0.0001002237,0.0001179816,0.000109213,0.00009233764],"genre_scores_gemma":[0.9964165,0.000004180408,0.003380186,0.000001191124,0.00002294038,0.000004068694,0.000127409,0.00002674044,0.000016767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01816451,"threshold_uncertainty_score":0.7061154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008000315998126952,"score_gpt":0.1907557544598396,"score_spread":0.1827554384617126,"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."}}