{"id":"W4321769598","doi":"10.1007/s42107-023-00610-8","title":"Analytical and numerical investigation of stiffened steel plate shear walls","year":2023,"lang":"en","type":"article","venue":"Asian Journal of Civil Engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Steel plate shear wall; Infill; Structural engineering; Buckling; Shear wall; Stiffness; Finite element method; Materials science; Shear (geology); Engineering; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002296573,0.0003946796,0.0004743329,0.0005880898,0.0003658348,0.0005654152,0.0006905546,0.0008295263,0.00234316],"category_scores_gemma":[0.0008557682,0.0002958617,0.0003718819,0.0005117676,0.0009509365,0.0003440893,0.0004259666,0.0003532458,0.0002935606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002441183,"about_ca_system_score_gemma":0.0004370364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001461811,"about_ca_topic_score_gemma":0.00134275,"domain_scores_codex":[0.999874,0.00002913664,0.000005139569,0.00001471521,0.00005186792,0.00002518497],"domain_scores_gemma":[0.9997213,0.0001133705,0.00004875059,0.00002947008,0.00006558195,0.00002155479],"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":[0.0002354117,0.0002000798,0.003418281,0.0002054999,0.00003089429,0.00111159,0.0002659752,0.8666551,0.1009204,0.01302037,0.0005180912,0.01341829],"study_design_scores_gemma":[0.00001557224,0.00009086475,0.002376595,0.00001560263,0.00000974784,0.0001169264,0.0001349009,0.9884804,0.007205475,0.000932943,0.0006040733,0.00001679103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9469221,0.0004415941,0.02832818,0.0001439335,0.0000642763,0.00002889883,0.00009172448,0.0001389557,0.02384033],"genre_scores_gemma":[0.9917598,0.0001371317,0.003808893,0.000009086298,0.00001073575,0.000008803123,0.00003593156,0.00001311554,0.004216442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00234316,"threshold_uncertainty_score":0.007838607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009603943324320515,"score_gpt":0.2033905630405988,"score_spread":0.1937866197162783,"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."}}