{"id":"W4389210106","doi":"10.1016/j.cscm.2023.e02732","title":"Advancing seismic resilience: Performance-based assessment of mid-rise and high-rise engineered cementitious composite (ECC) Buildings","year":2023,"lang":"en","type":"article","venue":"Case Studies in Construction Materials","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"School of Chemical Engineering and Advanced Materials, University of Adelaide; National University of Sciences and Technology","keywords":"Structural engineering; Ductility (Earth science); Resilience (materials science); Finite element method; Flexural strength; Ultimate tensile strength; Shear (geology); Shear wall; Seismic analysis; Engineering; Compression (physics); Reinforced concrete; Induced seismicity; Materials science; Geotechnical engineering; Civil engineering; Composite material; Creep","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":[0.0002700688,0.0002447378,0.000477964,0.0003717901,0.0001082841,0.00003479562,0.00008067393,0.00007692372,0.00004064382],"category_scores_gemma":[0.0000417077,0.0002534804,0.00003340873,0.0003782212,0.0003074367,0.000219642,0.00008329209,0.0001048948,0.000003128412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001832419,"about_ca_system_score_gemma":0.00002560985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003702087,"about_ca_topic_score_gemma":0.000001509177,"domain_scores_codex":[0.9986357,0.00003863403,0.0005783926,0.0002382556,0.0001829572,0.0003260754],"domain_scores_gemma":[0.9994138,0.0001104225,0.0001166827,0.0002054,0.00009731721,0.00005630107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003699416,0.000001054572,0.003162137,0.00133101,0.0001011043,0.0004451854,0.0003442288,0.1394348,0.8493007,0.000113324,0.0001007077,0.005628721],"study_design_scores_gemma":[0.002116267,0.0001248697,0.004043103,0.0005303978,0.0001216216,0.001193759,0.001796219,0.03112165,0.9582106,0.00006842065,0.0001422142,0.0005308544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962744,0.0002475943,0.0004776184,0.00001648558,0.002240865,0.0003274351,0.00009547074,0.0002905618,0.00002961138],"genre_scores_gemma":[0.9905508,0.0006578591,0.00860677,0.000005786859,0.00005905187,0.00006689029,0.00001544917,0.00002832398,0.000009129155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1089099,"threshold_uncertainty_score":0.9999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127645621165426,"score_gpt":0.2792116608700395,"score_spread":0.2664470987534969,"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."}}