{"id":"W4415032739","doi":"10.2139/ssrn.5587298","title":"Structural benefits analysis of a novel prestress system to strengthen reinforced concrete members using iron-based shape memory alloy","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Masonry and Concrete Structural Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Deflection (physics); Flexural strength; Reinforced concrete; Shape-memory alloy; Beam (structure); Limit state design; Limit load; Structural system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001609951,0.0002616626,0.0003363252,0.0002527399,0.0002286363,0.0002919281,0.0005643519,0.0005513523,0.003083361],"category_scores_gemma":[0.0002053667,0.000136717,0.0002310255,0.0001323367,0.0002223528,0.0002379359,0.0002130264,0.0001838834,0.0002814911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002751684,"about_ca_system_score_gemma":0.0003292446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002048533,"about_ca_topic_score_gemma":0.002972816,"domain_scores_codex":[0.9999183,0.00001248952,0.000002359881,0.00001225992,0.00003870548,0.00001581762],"domain_scores_gemma":[0.9999011,0.00002232941,0.00001592475,0.00001284627,0.00003770139,0.00001016766],"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":[0.0005159702,0.0002360343,0.002046095,0.0001109203,0.00004516984,0.0003108698,0.00007826503,0.7668988,0.1749035,0.005879035,0.0004338396,0.04854158],"study_design_scores_gemma":[0.00001459973,0.000356425,0.001809275,0.000003863219,0.00002878947,0.00003881835,0.00002662677,0.9834461,0.01349036,0.0003593064,0.0004201838,0.00000574599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8256202,0.0001110763,0.1628969,0.00008173892,0.00002149409,0.00006012067,0.00005945902,0.0002390932,0.01090994],"genre_scores_gemma":[0.9919816,0.00001973226,0.00571723,0.00000501399,0.000002919616,0.00001000948,0.00001577471,0.000009246171,0.002238375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003083361,"threshold_uncertainty_score":0.01031482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01379299399898905,"score_gpt":0.2304508642567226,"score_spread":0.2166578702577335,"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."}}