{"id":"W2392018629","doi":"","title":"Numerical Simulation of Wind Pressure and Wind Environment of a Commercial Quarter","year":2007,"lang":"en","type":"article","venue":"Chinese Quarterly of Mechanics","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Fluent; Meteorology; Wind engineering; Wind speed; Computer simulation; Environmental science; Wind direction; Marine engineering; Wind gradient; Wind profile power law; Engineering; Simulation; Physics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002092259,0.0004230459,0.0006645743,0.0004000874,0.0007745362,0.0006394485,0.0005979303,0.0009465778,0.002537425],"category_scores_gemma":[0.0004404784,0.0003084262,0.0005357935,0.0005458171,0.0005330205,0.0003977553,0.0004184481,0.0004029874,0.0001722004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004073366,"about_ca_system_score_gemma":0.000687041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01768323,"about_ca_topic_score_gemma":0.007102815,"domain_scores_codex":[0.9998621,0.00002831964,0.00001011555,0.00002483217,0.00003197012,0.0000426694],"domain_scores_gemma":[0.9997721,0.00007777281,0.00003096759,0.00002603645,0.00004909679,0.0000439826],"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":[0.0001133762,0.00007688306,0.006848338,0.00005604019,0.00001562308,0.0004021615,0.0001262247,0.9807103,0.007526985,0.001196219,0.0003241426,0.002603626],"study_design_scores_gemma":[0.00002475705,0.00005641321,0.00256259,0.000003987324,0.000006641952,0.00002889811,0.00008864647,0.9959486,0.0008369979,0.0001524578,0.0002794141,0.00001057237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728213,0.0000895974,0.01651082,0.0001151837,0.0000511658,0.00004857553,0.000445698,0.0001992056,0.00971847],"genre_scores_gemma":[0.995899,0.00005303078,0.002698821,0.000007408472,0.000004686165,0.00002728544,0.0001538004,0.000009261694,0.001146763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01768323,"threshold_uncertainty_score":0.0351606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006373655025741803,"score_gpt":0.2278703802525702,"score_spread":0.2214967252268284,"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."}}