{"id":"W4401423685","doi":"10.3390/buildings14082443","title":"Optimizing Seismic Performance of Tuned Mass Dampers at Various Levels in Reinforced Concrete Buildings","year":2024,"lang":"en","type":"article","venue":"Buildings","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Tuned mass damper; Structural engineering; Damper; Reinforced concrete; Engineering; Seismic analysis; Computer science","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":[0.0001990274,0.0003998005,0.0002205653,0.0002187078,0.0001371727,0.0002869761,0.000270522,0.0003204168,0.0004698732],"category_scores_gemma":[0.0003492416,0.0001338697,0.0001877933,0.00009936389,0.0002916547,0.000214239,0.0002780927,0.0001714379,0.0001189155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001845368,"about_ca_system_score_gemma":0.0001697749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008161538,"about_ca_topic_score_gemma":0.001488027,"domain_scores_codex":[0.9998859,0.00002223294,0.000008044087,0.00002057855,0.00003435013,0.00002894964],"domain_scores_gemma":[0.9998642,0.00003913806,0.00004545111,0.0000163408,0.00001678889,0.00001802044],"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":[0.0005019524,0.0001982189,0.00611101,0.0001523555,0.00002738092,0.0002131701,0.0001476772,0.3604178,0.6005371,0.0004921485,0.00006746,0.03113372],"study_design_scores_gemma":[0.00005990388,0.00369263,0.01540249,0.00003930193,0.0000872048,0.0001361035,0.0003400467,0.7012331,0.2772726,0.0003204897,0.001372591,0.00004357327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892469,0.00006601119,0.01005955,0.00001206477,0.00000584283,0.00000798263,0.00001151551,0.00004016413,0.0005499184],"genre_scores_gemma":[0.9981163,0.00002181204,0.001755177,0.000001969492,5.081185e-7,0.000002565857,0.000004395691,0.000001563161,0.00009582252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008161538,"threshold_uncertainty_score":0.001622856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009657803230391351,"score_gpt":0.2068356573342488,"score_spread":0.1971778541038575,"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."}}