{"id":"W4398139573","doi":"10.1002/tal.2123","title":"Seismic control of tall buildings using vertically distributed multiple tuned mass dampers","year":2024,"lang":"en","type":"article","venue":"The Structural Design of Tall and Special Buildings","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"OpenSees; Tuned mass damper; Structural engineering; Particle swarm optimization; Modal; Acceleration; Damper; Vibration control; Vibration; Mode (computer interface); MATLAB; Sensitivity (control systems); Modal analysis; Computer science; Engineering; Finite element method; Acoustics; Materials science; Algorithm; Physics; Electronic 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001989069,0.0002356835,0.0003990087,0.00007058457,0.0001005629,0.00007229576,0.0002353656,0.0001290703,0.0001058865],"category_scores_gemma":[0.0001211185,0.0001511632,0.000136289,0.0002098057,0.0002709535,0.0001804853,0.00004227839,0.0002027689,0.000001894272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004344272,"about_ca_system_score_gemma":0.00002276795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000332028,"about_ca_topic_score_gemma":0.000001115844,"domain_scores_codex":[0.998778,0.00005461963,0.0004345838,0.0002192547,0.0002192268,0.0002942531],"domain_scores_gemma":[0.9993359,0.0003290894,0.00004620009,0.000134656,0.00006369403,0.00009041738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001886065,0.000003558682,0.0001295518,0.00009097199,0.0001587798,0.000006079848,0.0001756532,0.1897653,0.801914,0.006118005,0.0002045822,0.001244906],"study_design_scores_gemma":[0.0008280831,0.0001214036,0.001211355,0.00007653662,0.0001157022,0.00002029632,0.00004126367,0.9685019,0.02160409,0.00687458,0.0003746184,0.0002302236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6070701,0.0005614251,0.3913189,0.0001791798,0.0003876518,0.000239913,0.00008036034,0.000097881,0.00006455217],"genre_scores_gemma":[0.9971443,0.00006146071,0.002286072,0.00004063596,0.0004117426,0.000004304044,0.000008684146,0.00002328372,0.00001955806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.78031,"threshold_uncertainty_score":0.6164255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122712507737377,"score_gpt":0.2097140213548063,"score_spread":0.1984868962774325,"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."}}