{"id":"W4400003634","doi":"10.1002/eqe.4176","title":"Hybrid data‐driven and physics‐based simulation technique for seismic response evaluation of steel buckling‐restrained braced frames considering brace fracture","year":2024,"lang":"en","type":"article","venue":"Earthquake Engineering & Structural Dynamics","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Brace; Structural engineering; Braced frame; Buckling; Fracture (geology); Steel frame; Finite element method; Engineering; Computer science; Geotechnical engineering; Frame (networking); Mechanical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000277685,0.0005291165,0.0004130137,0.000603052,0.0002464518,0.000355329,0.0006880341,0.0005885802,0.0009802739],"category_scores_gemma":[0.0006527596,0.0003443507,0.0005989395,0.0003499445,0.0002309513,0.0004129491,0.0003074325,0.0004102978,0.0001573429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004626697,"about_ca_system_score_gemma":0.0006779113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01301307,"about_ca_topic_score_gemma":0.01099031,"domain_scores_codex":[0.9998983,0.00001948321,0.000007187309,0.00002074012,0.00004232951,0.00001201464],"domain_scores_gemma":[0.9997657,0.0001003265,0.00002682377,0.00003110283,0.00006317202,0.00001293584],"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":[0.00002187205,0.00003715331,0.001114516,0.00001555017,0.00001380813,0.00003158175,0.00001437064,0.9903868,0.003397032,0.0002719031,0.00006392008,0.004631577],"study_design_scores_gemma":[0.000001253446,0.000005833082,0.0001704485,6.711529e-7,0.000001159173,0.000002744129,0.00000190473,0.9991258,0.0006019071,0.00004539607,0.00004162061,0.000001391661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5516818,0.0001393383,0.4407791,0.0001431463,0.00004350361,0.0001061068,0.0006626873,0.001408804,0.005035513],"genre_scores_gemma":[0.9750514,0.00005472515,0.02374109,0.00001650222,0.000005213265,0.00007920347,0.0003920282,0.00003130934,0.0006284972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01301307,"threshold_uncertainty_score":0.02587461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02559067829855767,"score_gpt":0.3148136393417757,"score_spread":0.289222961043218,"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."}}