{"id":"W2788458510","doi":"10.4028/www.scientific.net/kem.763.1077","title":"Seismic Design, Analysis and Testing of a Friction Steel Braced Frame System for Multi-Storey Buildings in Vancouver","year":2018,"lang":"en","type":"article","venue":"Key engineering materials","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Polytechnique Montréal","keywords":"Structural engineering; Brace; Dissipation; Engineering; Bracing; Stiffness; Frame (networking); Seismic analysis; Moment (physics); Displacement (psychology); Braced frame; Steel frame; Structural system; Nonlinear system; Dynamic testing; Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003328565,0.0004458769,0.0003512318,0.0004644016,0.0005663084,0.0003933905,0.00072723,0.0003185725,0.001123214],"category_scores_gemma":[0.00040945,0.0002292032,0.0001629664,0.000341276,0.0003210458,0.0001596388,0.0003111354,0.0001600839,0.0003066965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001435206,"about_ca_system_score_gemma":0.001562045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0891118,"about_ca_topic_score_gemma":0.2132784,"domain_scores_codex":[0.9997599,0.00002047518,0.00001040884,0.00003066191,0.0001307813,0.00004790718],"domain_scores_gemma":[0.9997694,0.00002464165,0.00002060541,0.00001841502,0.0001303459,0.00003655746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001553168,0.0005230922,0.05560368,0.0004007747,0.00004373261,0.001030233,0.000890934,0.1034479,0.7185029,0.0004699901,0.0005483603,0.1169852],"study_design_scores_gemma":[0.0002144993,0.008130332,0.2756385,0.00005552022,0.0001320945,0.0006026274,0.002421053,0.3055805,0.3980871,0.0001727916,0.008872868,0.00009207248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938579,0.0000357757,0.004584567,0.00001238684,0.000003457902,0.00006160096,0.00008406742,0.00004782695,0.001312443],"genre_scores_gemma":[0.9954908,0.00003226785,0.003015601,0.000003285603,5.704287e-7,0.00001706838,0.00008091306,0.000006082669,0.00135334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9108882,"threshold_uncertainty_score":0.1771863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01894973243274055,"score_gpt":0.2206199942518006,"score_spread":0.20167026181906,"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."}}