{"id":"W2739933303","doi":"10.1061/9780784479117.175","title":"Application of Gyro-Mass Dampers to Mitigate the Seismic Failure in Soft First Story Buildings","year":2015,"lang":"en","type":"article","venue":"Structures Congress 2015","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Acceleration; Damper; Stiffness; Peak ground acceleration; Structural engineering; Tuned mass damper; Vulnerability (computing); Ground motion; Engineering; Computer science; Physics","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":[0.000184536,0.0001423203,0.0001930934,0.00006129473,0.00004902859,0.00002404424,0.0002976092,0.0001163877,0.00006487279],"category_scores_gemma":[0.00009236469,0.00009930466,0.00003983903,0.0001517843,0.0000947341,0.00008928469,0.00003685716,0.0001968161,0.00003950457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004544708,"about_ca_system_score_gemma":0.00002316175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005619911,"about_ca_topic_score_gemma":0.000235045,"domain_scores_codex":[0.9992228,0.00003670734,0.0001875948,0.0001694191,0.0001865462,0.0001969163],"domain_scores_gemma":[0.9994404,0.00006657133,0.00003545372,0.0002555882,0.00008272944,0.0001192821],"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":[0.00007153327,0.00000633664,0.001922484,0.00004954574,0.00004485424,0.000002885183,0.001495202,0.9200338,0.01876103,0.002932238,0.04431918,0.01036088],"study_design_scores_gemma":[0.002462819,0.0002840234,0.009886066,0.00006833057,0.00004551191,0.0000123333,0.001081006,0.6124379,0.005533296,0.01708113,0.3503386,0.0007689621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6987134,0.004340367,0.2774512,0.01222115,0.002184528,0.001966255,0.0001314793,0.0005983955,0.002393282],"genre_scores_gemma":[0.9989272,0.000006962243,0.000615323,0.0001708836,0.00009467331,0.00003498802,0.00001184332,0.00001699523,0.0001210722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3075959,"threshold_uncertainty_score":0.4049527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007203004447288496,"score_gpt":0.2178324429635997,"score_spread":0.2106294385163112,"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."}}