{"id":"W3084988918","doi":"10.2749/newyork.2019.2644","title":"Super-long span bridge aerodynamics: on-going results of the TG3.1 benchmark test – Step 1.2","year":2019,"lang":"en","type":"article","venue":"Report","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Rowan Williams Davies & Irwin (Canada)","funders":"","keywords":"Aeroelasticity; Aerodynamics; Benchmark (surveying); Bridge (graph theory); Wind tunnel; Structural engineering; Span (engineering); Stability (learning theory); Computer science; Turbulence; Engineering; Aerospace engineering; Physics; Geology; Meteorology; Medicine; Machine learning","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":[0.0003068799,0.0001289583,0.0002058476,0.00007506277,0.00003850847,0.00002892821,0.0001613975,0.00006534834,0.00004845719],"category_scores_gemma":[0.0001857991,0.0001015821,0.0001505684,0.0002784815,0.00001967882,0.0000692406,0.00004004953,0.0001411514,0.00005054604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000641639,"about_ca_system_score_gemma":0.00003491197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000109115,"about_ca_topic_score_gemma":0.0002219752,"domain_scores_codex":[0.9988441,0.00001407196,0.0004914704,0.0002090435,0.0002765044,0.0001648225],"domain_scores_gemma":[0.9989454,0.0001079287,0.0001038661,0.0007351735,0.00006287076,0.0000448351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002892439,0.000109795,0.6940182,0.0001538469,0.0002379675,0.0001180348,0.0002611183,0.2785969,0.02079576,0.0005273663,0.003062042,0.002090005],"study_design_scores_gemma":[0.0002627173,0.00003572325,0.4294704,0.00008390997,0.00003111995,0.00004821401,0.00002101307,0.567014,0.001662143,0.00001067579,0.001192854,0.0001671979],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658656,0.00002752494,0.001249969,0.0001076977,0.0003942491,0.0001514944,0.00002849911,0.00007938612,0.03209556],"genre_scores_gemma":[0.996998,0.00002492988,0.0002024135,0.00002175593,0.0000467697,0.000003063615,0.00004886974,0.00002666549,0.002627574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.288417,"threshold_uncertainty_score":0.4142399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005271766053570629,"score_gpt":0.2008419268747231,"score_spread":0.1955701608211524,"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."}}