{"id":"W2905051349","doi":"10.1016/j.engstruct.2018.11.080","title":"Numerical study of hybrid GFRP-steel reinforced concrete shear walls and SFRC walls","year":2018,"lang":"en","type":"article","venue":"Engineering Structures","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fibre-reinforced plastic; Structural engineering; Shear wall; Ductility (Earth science); Stiffness; Finite element method; Parametric statistics; Dissipation; Materials science; Shear (geology); Fiber-reinforced concrete; Reinforced concrete; Composite material; Engineering; Creep","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":[0.0003305949,0.0004602318,0.000702639,0.0007426937,0.0005499204,0.0008185632,0.000920996,0.001554139,0.00250603],"category_scores_gemma":[0.0009631601,0.0004197982,0.0005228185,0.0007786879,0.001041981,0.000499292,0.0004794313,0.000422859,0.0002091994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005605868,"about_ca_system_score_gemma":0.0004978371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00823662,"about_ca_topic_score_gemma":0.006949795,"domain_scores_codex":[0.9997844,0.0000419218,0.00000883655,0.00003902365,0.00006108401,0.00006467588],"domain_scores_gemma":[0.9993978,0.0002636574,0.00009674012,0.00005020468,0.00009343079,0.00009828305],"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":[0.0001499008,0.0001283871,0.003647116,0.00005722339,0.00003577012,0.0003854838,0.00007440418,0.9787655,0.01187489,0.002127048,0.000207759,0.002546567],"study_design_scores_gemma":[0.00002231966,0.00009107101,0.003297021,0.000009512569,0.00001394447,0.00004902396,0.00008978898,0.994103,0.001916751,0.0002146597,0.0001800932,0.00001279033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881405,0.0001243033,0.004313686,0.00004525623,0.00001900929,0.00001515105,0.0001043288,0.00006184308,0.007175962],"genre_scores_gemma":[0.9974583,0.0000363943,0.001512703,0.000006420018,0.000003543219,0.000005842717,0.0000407103,0.000008321744,0.0009278478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00823662,"threshold_uncertainty_score":0.01637733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007366406171767883,"score_gpt":0.219034955801416,"score_spread":0.2116685496296482,"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."}}