{"id":"W2972094531","doi":"10.1016/j.jweia.2019.103980","title":"Effects of plan dimensions on gust wind loads for high-rise buildings","year":2019,"lang":"en","type":"article","venue":"Journal of Wind Engineering and Industrial Aerodynamics","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Plan (archaeology); Load factor; Structural engineering; Wind engineering; Range (aeronautics); Environmental science; Wind tunnel; Engineering; Meteorology; Geology; Physics; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003507549,0.0003447777,0.0003575052,0.0003394522,0.0004893788,0.0005909892,0.0001769025,0.000375242,0.00379076],"category_scores_gemma":[0.001674324,0.0002243021,0.0003502143,0.0002295741,0.0004725976,0.0004366034,0.0003518669,0.0003177592,0.0002945842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002804534,"about_ca_system_score_gemma":0.0001639996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001730199,"about_ca_topic_score_gemma":0.003335122,"domain_scores_codex":[0.9997632,0.00006946209,0.000009380352,0.00001462246,0.00007782746,0.00006548319],"domain_scores_gemma":[0.9977942,0.00165119,0.00009923412,0.00008727091,0.00026131,0.0001068897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.01749848,0.001413427,0.1072831,0.0003651582,0.0001480071,0.00239556,0.0008285294,0.5181461,0.2710034,0.001753087,0.002077131,0.07708803],"study_design_scores_gemma":[0.0002655097,0.007036737,0.5093176,0.00004665027,0.0003099689,0.0005175685,0.002377671,0.3229788,0.1544812,0.001177636,0.001368051,0.0001226308],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974042,0.00004242489,0.0007929159,0.00001752387,0.000009880328,0.000005640335,0.00004737015,0.00002401576,0.001656058],"genre_scores_gemma":[0.9996706,0.00001393384,0.00008458547,0.000003024847,0.000001757916,0.000001458527,0.00002013558,0.000006147134,0.0001983455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00379076,"threshold_uncertainty_score":0.01268137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006975035236243669,"score_gpt":0.1840354589525617,"score_spread":0.177060423716318,"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."}}