{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002581865,0.0002092862,0.0003129975,0.0001955149,0.00005228178,0.00005140061,0.0001965923,0.0001632142,0.0001791911],"category_scores_gemma":[0.00003996252,0.0001868664,0.00009707623,0.0003722929,0.00006313092,0.0003026645,0.00006068093,0.0002441778,0.00003862633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001518523,"about_ca_system_score_gemma":0.00002431819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002461888,"about_ca_topic_score_gemma":7.974441e-7,"domain_scores_codex":[0.9987705,0.00001437564,0.0004324619,0.0002504831,0.0001789733,0.0003531549],"domain_scores_gemma":[0.999594,0.0001124464,0.00002882745,0.0001585363,0.00003014083,0.00007603173],"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":[0.00003021684,5.893137e-7,0.0002048529,0.0002318349,0.00004187882,0.00001816642,0.0005985419,0.2600577,0.7332965,0.004177207,0.0003366064,0.001005836],"study_design_scores_gemma":[0.0004897837,0.00007328317,0.0002290206,0.0002228692,0.00001628205,0.00001430417,0.00002453095,0.9000363,0.09437259,0.00005867206,0.004209648,0.0002526699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559575,0.0009066016,0.03980903,0.0001851098,0.0004016837,0.000181202,0.00001130182,0.0004272117,0.002120413],"genre_scores_gemma":[0.9912342,0.0001964225,0.007361065,0.0001244098,0.0000594796,0.00002061197,0.000006480113,0.00003699743,0.0009603238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6399786,"threshold_uncertainty_score":0.7620192,"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."}}