{"id":"W2062330243","doi":"10.1016/j.engstruct.2012.12.041","title":"Behavior and modeling of superelastic shape memory alloy reinforced concrete beams","year":2013,"lang":"en","type":"article","venue":"Engineering Structures","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":158,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Public Works and Government Services Canada; University of Ottawa","funders":"Public Works and Government Services Canada; Government of Canada","keywords":"SMA*; Shape-memory alloy; Materials science; Structural engineering; Ductility (Earth science); Dissipation; Finite element method; Pseudoelasticity; Reinforcement; Reinforced concrete; Constitutive equation; Composite material; Martensite; Computer science; Engineering; Microstructure; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008153454,0.0001555176,0.0001916894,0.00008536121,0.00005605593,0.00005364783,0.0001629441,0.00007314602,0.0008047164],"category_scores_gemma":[0.00007103402,0.0001418022,0.00003672527,0.00006851597,0.00004817207,0.0003551912,0.00003593147,0.0001086901,0.00001862024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001472725,"about_ca_system_score_gemma":0.0000162667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006506068,"about_ca_topic_score_gemma":2.113622e-7,"domain_scores_codex":[0.9991438,0.00001034075,0.0002909684,0.0001575524,0.0001751672,0.0002221602],"domain_scores_gemma":[0.999579,0.0000637777,0.00003640494,0.0001782247,0.00005820579,0.00008443186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002026021,3.110062e-7,0.000008583576,0.000047255,0.000004679502,7.45378e-7,0.0003635765,0.4486344,0.5502465,0.0006139788,0.00000804908,0.00006994014],"study_design_scores_gemma":[0.0002724494,0.00003231376,0.001690813,0.00003098282,0.00003261066,0.0000255634,0.0001116957,0.8769588,0.1206106,0.00003349663,0.000008230005,0.000192406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931673,0.00008865353,0.00597935,0.00001823968,0.0002650935,0.0002551153,0.00001419917,0.0001290618,0.00008300383],"genre_scores_gemma":[0.9858941,0.000004973279,0.01393485,0.00002333253,0.00004286447,0.00004429017,0.00000713628,0.00002243303,0.0000259995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4296359,"threshold_uncertainty_score":0.881108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101566273009789,"score_gpt":0.2123994253289274,"score_spread":0.2022427980279485,"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."}}