{"id":"W2059873222","doi":"10.1016/j.jweia.2012.03.028","title":"Sectional model investigation at high Reynolds number for a super tall building","year":2012,"lang":"en","type":"article","venue":"Journal of Wind Engineering and Industrial Aerodynamics","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; National Research Council Canada","funders":"","keywords":"Reynolds number; Mathematics; Architectural engineering; Mechanics; Engineering; Physics; Turbulence","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":[0.0001729054,0.0004516052,0.0005537244,0.0003380722,0.0006037382,0.0007832357,0.0006806993,0.001513884,0.002848835],"category_scores_gemma":[0.0004326536,0.0003925159,0.0006386011,0.0003494464,0.0003889524,0.0003814995,0.000406808,0.0005016197,0.0003312098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002821508,"about_ca_system_score_gemma":0.0006560286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01202035,"about_ca_topic_score_gemma":0.007483322,"domain_scores_codex":[0.9999064,0.00002331756,0.000004230621,0.00001639974,0.00002298263,0.00002662086],"domain_scores_gemma":[0.9997656,0.00008474289,0.0000294654,0.00003420163,0.00005155744,0.00003449059],"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":[0.00009755498,0.00009821496,0.003158466,0.00003417722,0.00002278392,0.0005285221,0.00007760268,0.9817153,0.01071211,0.001404131,0.0003443767,0.001806781],"study_design_scores_gemma":[0.00001108573,0.00009318778,0.00279911,0.000004279975,0.00001632496,0.00005611799,0.00006134884,0.9955462,0.0009602364,0.0001582252,0.0002815727,0.00001227926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597104,0.0001343865,0.02166381,0.0001471643,0.00004303459,0.00005210504,0.0004355502,0.0002537275,0.01755986],"genre_scores_gemma":[0.9954054,0.00008396377,0.001697955,0.00001639162,0.000006858458,0.00001721751,0.0001258405,0.00002419365,0.00262202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01202035,"threshold_uncertainty_score":0.02390075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02079749527988799,"score_gpt":0.2115190269108961,"score_spread":0.1907215316310081,"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."}}