{"id":"W4242336168","doi":"10.32920/ryerson.14646720.v1","title":"Modeling of Gust Energy Extractions through Aeroelastic Tailoring","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Aeroelasticity; Aerodynamics; Robustness (evolution); Computer science; Drag; Wing; Structural engineering; Efficient energy use; Control theory (sociology); Engineering; Aerospace 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004831207,0.0002608538,0.0004038456,0.00007776351,0.00005839858,0.00007682568,0.0001767993,0.0002927447,0.0005208822],"category_scores_gemma":[0.00005488331,0.0002896038,0.0001802089,0.0001125335,0.00002024044,0.0002445103,0.0001632414,0.0004860357,0.000007865963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006863855,"about_ca_system_score_gemma":0.00007990903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002988045,"about_ca_topic_score_gemma":0.0002809739,"domain_scores_codex":[0.9987736,0.0000234119,0.000508446,0.0002722736,0.0001976359,0.0002246605],"domain_scores_gemma":[0.9992866,0.0001006761,0.00005427135,0.0003656409,0.0001346213,0.00005817202],"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":[0.000003029447,0.00002390209,0.000004242725,0.0001729345,0.0001358685,0.000003295396,0.0001643357,0.9917177,0.002700483,0.004636885,0.00008877963,0.0003485447],"study_design_scores_gemma":[0.0001411862,0.000007908221,0.000006911372,0.0001748045,0.00008337733,0.000003610003,0.0002935746,0.9950517,0.003247088,0.0005264354,0.0002155398,0.0002478992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0123006,0.0007067795,0.9688747,0.00003843493,0.001453898,0.00007634465,0.00001471721,0.0003513552,0.01618319],"genre_scores_gemma":[0.9864141,0.0003895627,0.0125151,0.00002849381,0.0002973324,0.0000527655,0.00005933501,0.00004965483,0.0001936504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9741135,"threshold_uncertainty_score":0.9999556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02856694960434941,"score_gpt":0.2323384776011672,"score_spread":0.2037715279968178,"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."}}