{"id":"W2791855067","doi":"10.1007/s10518-018-0338-4","title":"Improving total-building seismic performance using linear fluid viscous dampers","year":2018,"lang":"en","type":"article","venue":"Bulletin of Earthquake Engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Clarendon Fund; University of Oxford","keywords":"Serviceability (structure); Structural engineering; Damper; Seismic retrofit; Eurocode; Retrofitting; Structural system; Earthquake resistant structures; Seismic analysis; Seismic loading; Engineering; Computer science; Civil engineering; Reinforced concrete","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004286624,0.0006983129,0.0003278999,0.0006573115,0.0001262372,0.0006707726,0.0005415355,0.0003341566,0.001577369],"category_scores_gemma":[0.0009903598,0.0001520603,0.0003730018,0.000272221,0.0002189144,0.0004613579,0.0006810702,0.0002798247,0.0004691529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002677824,"about_ca_system_score_gemma":0.0001735647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007979486,"about_ca_topic_score_gemma":0.001172523,"domain_scores_codex":[0.999741,0.00003879554,0.00001552491,0.00003231932,0.0001320156,0.00004035349],"domain_scores_gemma":[0.9996613,0.0001338459,0.00006947231,0.00004591624,0.00005459833,0.00003480332],"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":[0.0004718474,0.0003587006,0.006753992,0.0004087892,0.00005734673,0.0001506253,0.0002160251,0.3966985,0.3892531,0.001351038,0.0004211112,0.203859],"study_design_scores_gemma":[0.00005076018,0.001859898,0.01304545,0.0000625813,0.000100035,0.0002007776,0.0001641023,0.7653654,0.2133599,0.0007815986,0.004933487,0.00007600047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.849946,0.0007036112,0.1427149,0.00007232091,0.00002645256,0.00003249541,0.00008289767,0.000761556,0.005659763],"genre_scores_gemma":[0.9863215,0.0001368331,0.01271712,0.00001009436,0.00000299789,0.000008378559,0.00003287103,0.00002699844,0.00074337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001577369,"threshold_uncertainty_score":0.005276859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006842290572229385,"score_gpt":0.1969309548417124,"score_spread":0.190088664269483,"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."}}