{"id":"W4408373012","doi":"10.1002/tal.70010","title":"Innovative Large‐Scale Prefabricated Onshore Lattice Wind Turbine Support Structures: Multiparameter Collaborative Optimization and Design Guidelines","year":2025,"lang":"en","type":"article","venue":"The Structural Design of Tall and Special Buildings","topic":"Structural Analysis and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Turbine; Marine engineering; Scale (ratio); Sea breeze; Engineering; Environmental science; Process engineering; Computer science; Industrial engineering; Mechanical engineering; Meteorology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002354931,0.0003055425,0.0004230372,0.0001828316,0.0002292329,0.0001096338,0.0001930213,0.0001359602,0.0001089419],"category_scores_gemma":[0.0001741121,0.000202316,0.00004221429,0.001067143,0.0001960981,0.0002578889,0.00008330849,0.0001735255,3.549838e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004093285,"about_ca_system_score_gemma":0.00003740368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001499553,"about_ca_topic_score_gemma":0.000005435533,"domain_scores_codex":[0.9986257,0.00009904333,0.0005365515,0.0002946524,0.0001927133,0.0002513314],"domain_scores_gemma":[0.9988475,0.0001831782,0.0001581308,0.0001685418,0.0005896665,0.00005293834],"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":[0.0001853065,0.000003720449,0.0002507582,0.00004615453,0.0002387999,0.00000132082,0.001705396,0.9853805,0.005931614,0.001371568,0.002339087,0.002545774],"study_design_scores_gemma":[0.001164694,0.0001426055,0.006038836,0.00006259538,0.0002490864,0.00001311338,0.0007926462,0.9683133,0.01502607,0.007423658,0.0003400975,0.00043328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5545508,0.0008010346,0.4418551,0.0004989623,0.0004301061,0.001208028,0.00009436247,0.00013166,0.000429989],"genre_scores_gemma":[0.8731061,0.0003353111,0.1259439,0.0001438954,0.0002283698,0.000009101972,0.00005295111,0.0000246471,0.000155723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3185554,"threshold_uncertainty_score":0.8250208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725305909558506,"score_gpt":0.2585377843062601,"score_spread":0.2412847252106751,"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."}}