{"id":"W4387821062","doi":"10.35453/nedjr-stmech-2023-sc0001","title":"NUMERICAL MODELLING OF REINFORCED CONCRETE FRAMES RETROFITTED WITH BUCKLING RESTRAINED BRACE INCORPORATING STEEL AND SUPERELASTIC SHAPE-MEMORY ALLOY CORES","year":2023,"lang":"en","type":"article","venue":"NED University Journal of Research","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Shape-memory alloy; SMA*; Structural engineering; Buckling; Materials science; Brace; Finite element method; Pseudoelasticity; Bar (unit); Frame (networking); Core (optical fiber); Displacement (psychology); Nonlinear system; Compression (physics); Computer science; Martensite; Engineering; Composite material; Geology; Mechanical engineering; Microstructure","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":[0.0007586504,0.0001824711,0.0004114886,0.0008217728,0.0001997737,0.00005200097,0.0003980063,0.000163597,0.0000277592],"category_scores_gemma":[0.0002213388,0.0001719765,0.00008466122,0.001171984,0.0003401691,0.0004978091,0.0001127749,0.001134554,0.000003381188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001592257,"about_ca_system_score_gemma":0.0001882309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006117282,"about_ca_topic_score_gemma":9.354039e-7,"domain_scores_codex":[0.9979408,0.0001189297,0.0003745911,0.0001737919,0.0009169999,0.0004748296],"domain_scores_gemma":[0.9979026,0.0008345028,0.0001664721,0.0001952415,0.0006354915,0.0002657037],"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":[0.0007871419,2.676918e-7,0.001944088,0.000206233,0.0001521991,0.0008454389,0.001021702,0.9036603,0.08988831,0.0006770287,0.00008368086,0.0007336281],"study_design_scores_gemma":[0.001664688,0.000624624,0.001669042,0.0005091459,0.00005000317,0.0001475273,0.00494947,0.981656,0.008453541,0.00002362968,0.00003373004,0.0002186389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958299,0.0000783674,0.003303002,0.00006153228,0.00007826288,0.0001580388,0.00000764701,0.0001014311,0.0003818678],"genre_scores_gemma":[0.9933336,0.0001537071,0.006190796,0.000003341729,0.00006320285,2.292704e-7,0.000005314473,0.00003244217,0.0002173991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08143477,"threshold_uncertainty_score":0.7012997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04141492968766457,"score_gpt":0.2615495126196907,"score_spread":0.2201345829320261,"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."}}