{"id":"W2946759396","doi":"10.1139/cjce-2018-0300","title":"Responses and capacity curves of mid- and high-rise wood buildings subjected to seismic excitations","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Structural engineering; Stiffness; Engineering; Nonlinear system; Cross laminated timber; Seismic analysis; Incremental Dynamic Analysis; Geotechnical engineering; Yield (engineering); Structural load; Materials science; Composite material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001115723,0.000116012,0.0002115741,0.0003762807,0.00002472132,0.00002693765,0.00006737898,0.00003931352,0.00003236206],"category_scores_gemma":[0.00008785346,0.0001126944,0.00002810334,0.0001612917,0.00001985501,0.0001702767,0.000005489,0.0001150212,0.000001611455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000534475,"about_ca_system_score_gemma":0.00006987762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008759359,"about_ca_topic_score_gemma":0.009088137,"domain_scores_codex":[0.9994743,0.00001090577,0.0002018596,0.00006396406,0.00007212726,0.0001768123],"domain_scores_gemma":[0.9994495,0.00007430112,0.00003243139,0.00007733706,0.00006631098,0.0003001132],"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":[0.0001670431,0.00003806564,0.09619189,0.005189873,0.001592906,0.0002365696,0.01896962,0.4589289,0.4038219,0.001033675,0.008838029,0.004991448],"study_design_scores_gemma":[0.006613557,0.002335442,0.7086608,0.01264623,0.0007829081,0.001433932,0.001452604,0.030688,0.1871722,0.0007679964,0.04447176,0.002974564],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921654,0.006662737,0.000504595,0.0002055089,0.0002147453,0.00008753523,0.00002523907,0.00001840174,0.0001158749],"genre_scores_gemma":[0.9990299,0.0002006342,0.0006389016,0.00001941157,0.00002937311,0.00000189483,7.648291e-7,0.00002244545,0.00005661044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6124689,"threshold_uncertainty_score":0.5071394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008401817727346354,"score_gpt":0.169363354950075,"score_spread":0.1609615372227287,"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."}}