{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002912459,0.00014687,0.0003123328,0.00003563601,0.00004545537,0.000002953951,0.0001207424,0.00007786331,0.0001452736],"category_scores_gemma":[0.00001278028,0.000117368,0.00007136867,0.000103128,0.0001098884,0.00009434943,0.00004183596,0.0000783294,0.00001053953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001107329,"about_ca_system_score_gemma":0.000003031411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004827162,"about_ca_topic_score_gemma":0.00001053795,"domain_scores_codex":[0.9988865,0.00003225177,0.0003973426,0.0001932749,0.0003260117,0.0001645833],"domain_scores_gemma":[0.9994247,0.0001065126,0.0002084621,0.0001931153,0.000006467995,0.00006072508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001313325,0.00345035,0.3725268,0.0007148071,0.0006030393,0.00001852989,0.06939606,0.09385715,0.2119882,0.0009217905,0.001011272,0.2441987],"study_design_scores_gemma":[0.003501514,0.006754735,0.8516907,0.0001320027,0.0002906074,0.00001091127,0.002261715,0.1150992,0.007499999,0.008785555,0.003170269,0.0008027618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906008,0.000124561,0.008518538,0.00005923518,0.00007130711,0.0001706634,0.00001573049,0.000006771577,0.0004324589],"genre_scores_gemma":[0.9994062,0.000004075064,0.0004916409,0.00002013934,0.00003756151,6.015332e-7,0.000002401176,0.000009225464,0.00002813937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4791639,"threshold_uncertainty_score":0.4786126,"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."}}