{"id":"W4401431252","doi":"10.1061/jsendh.steng-13500","title":"Real-Time Aeroelastic Hybrid Simulation Method for a Flexible Bridge Deck Section Model","year":2024,"lang":"en","type":"article","venue":"Journal of Structural Engineering","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hudbay Minerals (Canada)","funders":"","keywords":"Aeroelasticity; Section (typography); Bridge (graph theory); Structural engineering; Deck; Computer science; Bridge deck; Flutter; Engineering; Aerospace engineering; Aerodynamics","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":[0.0002542745,0.0001716126,0.00028352,0.0002093202,0.00003066601,0.00008199165,0.00009062939,0.00006304083,0.00001760032],"category_scores_gemma":[0.0000521453,0.0001496602,0.0001588051,0.0001317195,0.000003787298,0.0003336232,0.000007761812,0.000193777,0.000005364268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001731982,"about_ca_system_score_gemma":0.00002789301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003691574,"about_ca_topic_score_gemma":1.85507e-7,"domain_scores_codex":[0.999024,0.000009156057,0.0004865602,0.00009531236,0.000181328,0.0002036251],"domain_scores_gemma":[0.9994656,0.0002331678,0.00005716741,0.00008241321,0.00006989792,0.00009169991],"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":[0.00000755807,7.020294e-7,0.00000200344,0.0003866084,0.0000767735,0.000006268944,0.0002053997,0.9035394,0.09371921,0.00005871986,0.000287768,0.001709609],"study_design_scores_gemma":[0.0001915376,0.0000424236,0.0001955843,0.0002671788,0.00005937938,0.0003435891,0.000006733285,0.9957859,0.002363046,0.0002099453,0.0003801903,0.0001545296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2870254,0.000303686,0.7109369,0.00001145976,0.001331451,0.00009702497,0.000009559136,0.00023344,0.00005109314],"genre_scores_gemma":[0.9537537,0.00001458126,0.04525517,0.00000242752,0.0008504838,0.000004800594,0.000004109823,0.00005799913,0.00005674513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6667283,"threshold_uncertainty_score":0.6102967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01539072455867871,"score_gpt":0.2777727324341801,"score_spread":0.2623820078755014,"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."}}