{"id":"W4405308136","doi":"10.1016/j.jweia.2024.105981","title":"Performance-based wind design of tall mass timber buildings with coupled post-tensioned cross-laminated timber shear walls","year":2024,"lang":"en","type":"article","venue":"Journal of Wind Engineering and Industrial Aerodynamics","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cross laminated timber; Structural engineering; Shear (geology); Shear wall; Engineering; Geology; Materials science; Composite material","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005502595,0.0003180364,0.0005488271,0.0002820092,0.00005911911,0.00009990727,0.0001322576,0.0002536741,0.00001634132],"category_scores_gemma":[0.000100241,0.0002477004,0.0001094273,0.000375809,0.00008349899,0.0003162817,0.00002234577,0.0006853408,0.000001747733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000142399,"about_ca_system_score_gemma":0.0001009727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000821248,"about_ca_topic_score_gemma":0.000004459392,"domain_scores_codex":[0.9984963,0.00001732297,0.000633401,0.0001741229,0.0003457565,0.000333075],"domain_scores_gemma":[0.9991285,0.0002309759,0.00009596039,0.0001419418,0.0002677865,0.0001348995],"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":[0.0002488996,0.00002492703,0.003160128,0.0002387342,0.0002913523,0.00004354065,0.0001685744,0.9792137,0.01600994,0.000006719803,0.000100378,0.0004931542],"study_design_scores_gemma":[0.001607734,0.000718014,0.01282951,0.0006716871,0.0001589041,0.0000794821,0.00004313526,0.9821056,0.001106797,0.000003220348,0.000360407,0.0003155571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986748,0.0004090329,0.01164381,0.00009363807,0.0007802593,0.000168812,0.00001953538,0.0001039819,0.00003287663],"genre_scores_gemma":[0.9954571,0.00007079718,0.004082277,0.000004441937,0.0002577656,0.000001336774,0.000006855138,0.00006549652,0.00005393336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01490314,"threshold_uncertainty_score":0.9999975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366166193887223,"score_gpt":0.2016556279542013,"score_spread":0.1879939660153291,"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."}}