{"id":"W2805525611","doi":"10.1139/cjce-2017-0010","title":"Identification of aerodynamic derivatives of bridge decks at high testing wind speed","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aerodynamics; Structural engineering; Wind speed; Flutter; Wind tunnel; Modal; Aeroelasticity; Vibration; Deck; Bridge (graph theory); Engineering; Aerodynamic force; Reliability (semiconductor); Acoustics; Aerospace engineering; Materials science; Physics; Power (physics); Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000200414,0.0003934454,0.0002204947,0.0006868503,0.0001497163,0.00024653,0.0002138706,0.000273089,0.0004317204],"category_scores_gemma":[0.0004248342,0.0001514079,0.0001400624,0.0001999143,0.0001581891,0.000278245,0.0002018723,0.0002278138,0.0001404024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007793269,"about_ca_system_score_gemma":0.00008991019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004450317,"about_ca_topic_score_gemma":0.0008662286,"domain_scores_codex":[0.9998791,0.00001627631,0.000006029173,0.00002579132,0.0000581938,0.00001449566],"domain_scores_gemma":[0.9998177,0.00005091911,0.00002965741,0.00002483318,0.00006091657,0.00001604874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005406513,0.0001538205,0.06525615,0.0002036502,0.00004610677,0.001187597,0.0004652435,0.05769093,0.7347269,0.0007486608,0.0005457556,0.1384345],"study_design_scores_gemma":[0.00002218913,0.0004611591,0.3234608,0.00002640251,0.00002869447,0.0009207928,0.0002919396,0.5570995,0.1159124,0.0004856724,0.001235683,0.00005485256],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712532,0.0000649701,0.02731929,0.00001577926,0.00001025299,0.0000179817,0.00006960629,0.0001171777,0.001131677],"genre_scores_gemma":[0.9959896,0.00001812545,0.003668995,0.000002668188,0.000001468801,0.000005235325,0.00005338932,0.000005444895,0.0002551584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006868503,"threshold_uncertainty_score":0.001444221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009401348524756126,"score_gpt":0.1927900060482781,"score_spread":0.183388657523522,"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."}}