{"id":"W2611937389","doi":"10.1115/1.4036633","title":"Modeling of a Wind Turbine Rotor Blade System","year":2017,"lang":"en","type":"article","venue":"Journal of vibration and acoustics","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Blade element theory; Rotor (electric); Aerodynamics; Turbine blade; Blade element momentum theory; Vibration; Helicopter rotor; Turbine; Coupling (piping); Structural engineering; Rotation (mathematics); Engineering; Blade pitch; Mechanics; Physics; Mechanical engineering; Computer science; Acoustics","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":[0.0001768561,0.0007633861,0.0006755573,0.0003194282,0.0004683093,0.0009169233,0.001103411,0.001646295,0.003501912],"category_scores_gemma":[0.0002788885,0.0003840641,0.000620702,0.0003661505,0.0004051145,0.0007913656,0.000641879,0.0006107588,0.001324611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003499633,"about_ca_system_score_gemma":0.0006273352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003617959,"about_ca_topic_score_gemma":0.002152016,"domain_scores_codex":[0.9998326,0.00003872088,0.00001188282,0.00004609726,0.0000560343,0.000014616],"domain_scores_gemma":[0.9999104,0.00002176713,0.0000189813,0.00001249101,0.00002914231,0.000007323285],"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":[0.00002230062,0.0000272231,0.0006418158,0.0001225579,0.00001786326,0.0003475371,0.0001100337,0.9687542,0.01230578,0.009312472,0.0007351237,0.007603141],"study_design_scores_gemma":[0.000006343224,0.00003000678,0.0002582451,0.00000742048,0.000005087017,0.00007415094,0.00001590643,0.9952934,0.00047542,0.001152226,0.002675471,0.000006168572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07445556,0.001154351,0.8897137,0.0004224096,0.0001936073,0.0002349082,0.001060457,0.0009924881,0.03177257],"genre_scores_gemma":[0.8791841,0.001414633,0.0839388,0.0001491002,0.00009422268,0.0005731764,0.001046031,0.0001800309,0.03341996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003617959,"threshold_uncertainty_score":0.01171511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558428413359696,"score_gpt":0.2353539362272854,"score_spread":0.2197696520936884,"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."}}