{"id":"W2802375621","doi":"10.1016/j.jobe.2018.05.009","title":"Seismic fragility assessment of superelastic shape memory alloy reinforced concrete shear walls","year":2018,"lang":"en","type":"article","venue":"Journal of Building Engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Fragility; SMA*; Shape-memory alloy; Shear wall; Structural engineering; Plastic hinge; Reinforced concrete; Materials science; Hinge; Shear (geology); Stiffness; Residual; Geotechnical engineering; Geology; Composite material; Engineering; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002904672,0.000470548,0.0002941857,0.0009697057,0.0002097517,0.000296229,0.0005479071,0.0006415002,0.001411464],"category_scores_gemma":[0.0005283288,0.0001945512,0.0003271879,0.0003312647,0.000283321,0.0002997218,0.0003399962,0.0002102272,0.0002867442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003187037,"about_ca_system_score_gemma":0.0002080774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001173033,"about_ca_topic_score_gemma":0.002437962,"domain_scores_codex":[0.9998215,0.00003037847,0.000006289515,0.00001830092,0.00008988773,0.00003362609],"domain_scores_gemma":[0.9996942,0.00009694912,0.00005319796,0.00002957221,0.00009806789,0.00002805807],"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":[0.001219098,0.0002156679,0.02555147,0.0001055312,0.00005223472,0.0006832411,0.0001849829,0.4183603,0.5165253,0.001467891,0.0002703099,0.03536399],"study_design_scores_gemma":[0.00001688421,0.0008912593,0.04069706,0.00001780561,0.00005118193,0.0001843491,0.000225271,0.791223,0.1658268,0.0003630158,0.0004726895,0.00003077473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939666,0.0000437688,0.004657348,0.00001033676,0.000002724311,0.0000058314,0.00004666986,0.00003003158,0.001236673],"genre_scores_gemma":[0.9989539,0.00001843971,0.0005263434,0.000001710754,7.826048e-7,0.000002455255,0.0000370825,0.000003037555,0.000456255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001411464,"threshold_uncertainty_score":0.00472182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007805477635672691,"score_gpt":0.2338181648410925,"score_spread":0.2260126872054198,"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."}}