{"id":"W3197882540","doi":"10.1016/j.strusafe.2021.102139","title":"Robustness-oriented optimal design for reinforced concrete frames considering the large uncertainty of progressive collapse threats","year":2021,"lang":"en","type":"article","venue":"Structural Safety","topic":"Structural Response to Dynamic Loads","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Progressive collapse; Robustness (evolution); Structural engineering; OpenSees; Reinforced concrete; Computer science; Engineering; Mathematical optimization; Forensic engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002164019,0.000342965,0.000477442,0.00004829502,0.0002501673,0.00004612536,0.0002619473,0.0001738339,0.000269326],"category_scores_gemma":[0.0005591837,0.0002435834,0.0001899973,0.0003528837,0.000210122,0.000160353,0.0001098642,0.0002589289,0.000001165455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001747178,"about_ca_system_score_gemma":0.000183936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006362137,"about_ca_topic_score_gemma":0.000006791398,"domain_scores_codex":[0.99817,0.0001114697,0.0005324964,0.0003099201,0.0002953255,0.0005807671],"domain_scores_gemma":[0.997986,0.0009301847,0.0001470673,0.000466547,0.0003654036,0.000104864],"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":[0.0007740738,3.684455e-7,0.00006167727,0.0001221617,0.0002593217,0.00003493674,0.0006976097,0.9757478,0.01440679,0.005761023,0.0001397874,0.001994425],"study_design_scores_gemma":[0.001943498,0.00007930758,0.0008275617,0.00008649853,0.00008159041,0.000152592,0.0008798901,0.9463391,0.04835603,0.0002948395,0.0005783302,0.000380715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9127757,0.001575718,0.08238048,0.0001980824,0.0008564039,0.001306429,0.0003991993,0.000284704,0.0002233013],"genre_scores_gemma":[0.9698054,0.00003887711,0.02949954,0.00004617608,0.00009850538,0.0000673875,0.0001071945,0.00005205614,0.0002849054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05702968,"threshold_uncertainty_score":0.9933044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441164710247673,"score_gpt":0.2604430837487099,"score_spread":0.2460314366462332,"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."}}