{"id":"W7125996970","doi":"10.26634/jste.14.2.22123","title":"Performance enhancement of RC structures through concrete jacketing: A structural rehabilitation approach","year":2025,"lang":"en","type":"article","venue":"i-manager’s Journal on Structural Engineering","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Boosting (machine learning); Performance enhancement; Reinforced concrete; Natural disaster; Progressive collapse","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002284502,0.0007060342,0.0007882577,0.0005491155,0.0002281299,0.0001593976,0.0006828061,0.0002360313,0.0001050483],"category_scores_gemma":[0.0001696328,0.000623666,0.0003298393,0.0006999865,0.0001307073,0.0007993199,0.0001046846,0.001076433,0.000004474069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004432985,"about_ca_system_score_gemma":0.00004714357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001125081,"about_ca_topic_score_gemma":1.400978e-7,"domain_scores_codex":[0.9968914,0.00004812257,0.001158193,0.000424676,0.0007065844,0.0007710419],"domain_scores_gemma":[0.998571,0.0002296146,0.0002781352,0.0005480146,0.0002097062,0.0001635575],"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":[0.0002327193,7.298549e-7,0.001108301,0.00160453,0.0006169151,0.00002501059,0.00127356,0.847242,0.1074881,0.01382951,0.0003261823,0.02625242],"study_design_scores_gemma":[0.003172383,0.000688181,0.04220181,0.001068232,0.0003420784,0.0004056197,0.0005640691,0.7650383,0.1806738,0.001663768,0.002255958,0.001925789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866468,0.0005891555,0.006699075,0.0000488722,0.002316145,0.0004823682,0.00001216244,0.0003237672,0.002881658],"genre_scores_gemma":[0.9593412,0.0000983188,0.0401025,0.00004803866,0.0001996716,0.00002156282,0.00002214145,0.00007692786,0.00008966569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08220368,"threshold_uncertainty_score":0.9996215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008442687415596057,"score_gpt":0.2378018611897344,"score_spread":0.2293591737741383,"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."}}