{"id":"W2889637175","doi":"10.1016/j.jweia.2018.08.012","title":"Probabilistic serviceability-performance assessment of tall mass-timber buildings subjected to stochastic wind loads: Part I - structural design and wind tunnel testing","year":2018,"lang":"en","type":"article","venue":"Journal of Wind Engineering and Industrial Aerodynamics","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"FPInnovations; University of British Columbia, Okanagan Campus; University of British Columbia; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; FPInnovations","keywords":"Serviceability (structure); Structural engineering; Engineering; Wind engineering; Wind tunnel; Cross laminated timber; Tuned mass damper; Deflection (physics); Structural load; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007405807,0.0002566951,0.0004180641,0.00008887393,0.0001497336,0.00005701694,0.0001829257,0.0001296327,0.00002867515],"category_scores_gemma":[0.0004273972,0.0002117478,0.00004181377,0.0003837757,0.0001720458,0.0003157462,0.0001528074,0.0004003559,0.000001270452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001683547,"about_ca_system_score_gemma":0.00004836922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003136367,"about_ca_topic_score_gemma":0.000005301958,"domain_scores_codex":[0.9984015,0.00003755237,0.0006028246,0.0002564084,0.0003563637,0.0003453727],"domain_scores_gemma":[0.999051,0.0002376921,0.0002656175,0.0001381701,0.00009538065,0.0002121127],"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":[0.00008794681,0.00003592818,0.03502197,0.00005209574,0.00006801043,0.000004146463,0.0003916687,0.9332431,0.02891245,0.000006991889,0.00006482762,0.002110854],"study_design_scores_gemma":[0.001941633,0.002498656,0.4510632,0.0006409585,0.0001761206,0.0001466224,0.0001970659,0.5420442,0.0004486154,0.00011638,0.0001412634,0.0005852105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967584,0.0000163777,0.002336045,0.00010347,0.0004514603,0.000265807,0.00000883482,0.00001561094,0.00004401151],"genre_scores_gemma":[0.9844041,0.000004498034,0.01506363,0.00002116328,0.0004647945,0.000001042687,0.000001097383,0.00002054313,0.00001911977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4160413,"threshold_uncertainty_score":0.8634824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0206850891999555,"score_gpt":0.2226725447483902,"score_spread":0.2019874555484347,"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."}}