{"id":"W2925886318","doi":"10.1139/cjce-2018-0780","title":"Determination of strut-and-tie models for structural concrete under dynamic loads","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stiffness; Maximization; Structural engineering; Computer science; Optimal design; Dynamic load testing; Finite element method; Numerical analysis; Mathematical optimization; Mathematics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003909285,0.0006322619,0.0004732619,0.0005282147,0.0002996509,0.0005833497,0.0007736138,0.001054712,0.001503313],"category_scores_gemma":[0.001313872,0.0004830398,0.000581411,0.0002873786,0.0005964672,0.0007472906,0.0006220957,0.0006375162,0.0003855634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003759787,"about_ca_system_score_gemma":0.0008460452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002148397,"about_ca_topic_score_gemma":0.003573224,"domain_scores_codex":[0.9998181,0.00004636841,0.000005908342,0.00002821768,0.00007998505,0.00002140645],"domain_scores_gemma":[0.9997484,0.0001117749,0.00006264157,0.00002027195,0.00004046635,0.00001630603],"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":[0.000004472146,0.000007239437,0.0001430138,0.00001255235,0.000002637834,0.00001280669,0.00001555152,0.9917999,0.001532576,0.003680742,0.00003742672,0.00275117],"study_design_scores_gemma":[7.83919e-7,0.000004893769,0.00003076172,0.000002393315,8.905113e-7,0.000004136287,0.000006010174,0.9988467,0.0002823133,0.0007028879,0.0001167127,0.000001590108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08105891,0.000143814,0.9107589,0.00007201074,0.00001309129,0.00004421606,0.00006536998,0.000119816,0.007723938],"genre_scores_gemma":[0.8796225,0.0002852728,0.1145827,0.00002560379,0.00001005038,0.0002324579,0.0001371571,0.00009854178,0.005005741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002148397,"threshold_uncertainty_score":0.005029082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007420347129554356,"score_gpt":0.2000124779692994,"score_spread":0.192592130839745,"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."}}