{"id":"W4386187142","doi":"10.1016/j.engstruct.2023.116797","title":"A seismic resilient design method for structures equipped with two-level yielding dampers, accounting for extremely rare earthquakes","year":2023,"lang":"en","type":"article","venue":"Engineering Structures","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Seismic hazard; Structural engineering; Incremental Dynamic Analysis; Seismic analysis; Resilience (materials science); Engineering; Damper; Frame (networking); Seismic risk; Earthquake engineering; Earthquake simulation; Nonlinear system; Hazard; Structural system; Computer science; Seismology; Geology; Civil engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006326239,0.0009808078,0.0006889767,0.0005782612,0.0003730411,0.0004433446,0.001006969,0.000912872,0.004322594],"category_scores_gemma":[0.0009800264,0.000448802,0.000753872,0.0002703222,0.000373357,0.0004755679,0.0006849131,0.0006417004,0.0005853486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003162333,"about_ca_system_score_gemma":0.000767224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002111094,"about_ca_topic_score_gemma":0.002668463,"domain_scores_codex":[0.9998482,0.00004625294,0.000008217074,0.00003129547,0.00004852429,0.00001750049],"domain_scores_gemma":[0.9997846,0.00008253167,0.00003268703,0.00002553824,0.00006120787,0.00001332434],"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":[0.00004763696,0.0000384074,0.0002416257,0.00009532467,0.00002580137,0.00006434029,0.00005740505,0.9320694,0.0123876,0.004633712,0.000370165,0.04996854],"study_design_scores_gemma":[0.000004257184,0.00004399111,0.00004970367,0.000005515919,0.000007961808,0.00001033185,0.000005090719,0.9981096,0.0006613201,0.0005070065,0.0005914248,0.000003794324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008766347,0.00005011965,0.9895257,0.00002602671,0.00001935261,0.0000300287,0.00002649432,0.0001634021,0.001392546],"genre_scores_gemma":[0.490204,0.0002913559,0.5019472,0.00007814753,0.00005383683,0.0004023993,0.0001340656,0.0001856228,0.00670333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004322594,"threshold_uncertainty_score":0.0144605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03081411117947087,"score_gpt":0.267803425621616,"score_spread":0.2369893144421452,"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."}}