{"id":"W4409622363","doi":"10.1155/je/8779428","title":"Wind Turbine Optimization by Blade Element Momentum Method and Particle Swarm Optimization Technique","year":2025,"lang":"en","type":"article","venue":"Journal of Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Blade (archaeology); Particle swarm optimization; Blade element momentum theory; Turbine blade; Momentum (technical analysis); Multi-swarm optimization; Turbine; Element (criminal law); Particle (ecology); Computer science; Mechanical engineering; Marine engineering; Engineering; Mathematical optimization; Mathematics; Geology; Economics","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":[0.0003457568,0.0001130973,0.0001587992,0.0001760675,0.00002858175,0.00004653468,0.0000811953,0.00005246017,0.0000228663],"category_scores_gemma":[0.00004975225,0.0001074024,0.00003063701,0.0002594018,0.000005019927,0.0001847962,0.00002870037,0.0001658607,2.949174e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000125391,"about_ca_system_score_gemma":0.00002491193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001164554,"about_ca_topic_score_gemma":1.011954e-7,"domain_scores_codex":[0.9992192,0.00001370368,0.0003258433,0.00007528142,0.0001641037,0.0002018836],"domain_scores_gemma":[0.9996837,0.00003833248,0.00003788341,0.00006984508,0.00006767577,0.0001025421],"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":[0.000007782668,0.0000146565,0.00003819988,0.00005301265,0.00007624959,0.000004551388,0.00003367912,0.9755126,0.02213934,0.00005348926,0.001146906,0.0009195567],"study_design_scores_gemma":[0.0003670692,0.00003949789,0.00006501067,0.00008756695,0.00001462721,0.00001194598,0.00001645387,0.8781449,0.1182501,0.00001592336,0.002890324,0.00009663482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006317763,0.0008538957,0.9921249,0.000187166,0.0001794929,0.00009497599,0.00000146492,0.00005420383,0.0001861855],"genre_scores_gemma":[0.4576218,0.001104212,0.5408552,0.00003825498,0.0001062697,0.00002104129,0.000008411637,0.00003989955,0.0002048473],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4513041,"threshold_uncertainty_score":0.4379742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004391096696478336,"score_gpt":0.2287531163083295,"score_spread":0.2243620196118512,"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."}}