{"id":"W4293418552","doi":"10.1061/(asce)st.1943-541x.0003488","title":"Effects of the Turbulence Integral Scale on the Non-Gaussian Properties and Extreme Wind Loads of Surface Pressure on a CAARC Model","year":2022,"lang":"en","type":"article","venue":"Journal of Structural Engineering","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Turbulence; Kurtosis; Gaussian; Surface pressure; Wind shear; Skewness; K-epsilon turbulence model; Mechanics; Meteorology; Environmental science; Physics; Mathematics; Wind speed; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060113,0.0005538912,0.0003603143,0.0003062635,0.0003488809,0.0006315435,0.0005827181,0.0004876623,0.0005975891],"category_scores_gemma":[0.001604195,0.0002253478,0.0004906602,0.0002987851,0.0006042098,0.0005854177,0.0004877174,0.0007020007,0.00008008976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004140283,"about_ca_system_score_gemma":0.0006023642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01934409,"about_ca_topic_score_gemma":0.009304389,"domain_scores_codex":[0.9997306,0.0000573145,0.0000182161,0.00005715893,0.0000826125,0.0000540551],"domain_scores_gemma":[0.999127,0.0003709663,0.0001005846,0.0001260699,0.0001968626,0.00007847473],"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":[0.0002006416,0.0001390468,0.01196426,0.00003301426,0.00002611496,0.0001517784,0.00007059779,0.9665012,0.01561455,0.0006532957,0.0001725324,0.00447291],"study_design_scores_gemma":[0.00001165334,0.00008591385,0.004004834,0.000002389759,0.000007034217,0.0000094495,0.00002435904,0.993571,0.002126845,0.00007405975,0.00007139721,0.0000110556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871553,0.00003101497,0.01131151,0.00003667595,0.00001112741,0.00001953417,0.00007746828,0.0001301646,0.001227132],"genre_scores_gemma":[0.9984225,0.00001519263,0.00131484,0.00000595825,0.000001338218,0.000009266319,0.00006853737,0.00001047447,0.0001518349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01934409,"threshold_uncertainty_score":0.038463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00852180602590561,"score_gpt":0.1653034920160752,"score_spread":0.1567816859901696,"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."}}