{"id":"W3125860915","doi":"10.1016/j.engstruct.2021.111877","title":"Using composite yield mechanism to mitigate seismic damage to exposed steel column base connections","year":2021,"lang":"en","type":"article","venue":"Engineering Structures","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"National Key Research and Development Program of China Stem Cell and Translational Research; State Key Laboratory of Coastal and Offshore Engineering; National Natural Science Foundation of China","keywords":"Yield (engineering); Dissipation; Structural engineering; Composite number; Base (topology); Moment (physics); Connection (principal bundle); Mechanism (biology); Composite material; Materials science; Engineering; Mathematics; Physics","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":[0.0001501721,0.0004882251,0.0002394952,0.0005029874,0.0002945533,0.000310857,0.000503386,0.0004039297,0.002092791],"category_scores_gemma":[0.0003964661,0.0001606775,0.0002056669,0.0002013491,0.0003254154,0.0004416014,0.0004630858,0.0002299189,0.0002421204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001542235,"about_ca_system_score_gemma":0.0003025828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004522824,"about_ca_topic_score_gemma":0.001449228,"domain_scores_codex":[0.9998995,0.000009005489,0.000002771148,0.00001853491,0.00005269049,0.00001756655],"domain_scores_gemma":[0.9998409,0.0000210302,0.00004438526,0.00002258251,0.0000544901,0.00001665499],"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":[0.0003906032,0.0002553421,0.005621997,0.00009202587,0.00005840902,0.0005524789,0.0001240839,0.3042119,0.5692816,0.01001382,0.0009209097,0.1084768],"study_design_scores_gemma":[0.00001812284,0.0006651544,0.006954981,0.00001126929,0.00005416402,0.0002525113,0.00007695309,0.8970274,0.09199611,0.001535381,0.001387694,0.00002025008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6152354,0.00008592949,0.3774546,0.00005735126,0.00004709589,0.00002719358,0.00003311079,0.0005939769,0.006465328],"genre_scores_gemma":[0.9819006,0.00003738022,0.01616895,0.00001138306,0.000005341171,0.000007121999,0.00001492022,0.00001922421,0.00183496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002092791,"threshold_uncertainty_score":0.007001042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810075632342672,"score_gpt":0.2223567434115634,"score_spread":0.2042559870881366,"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."}}