{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007042316,0.0004003136,0.0004289564,0.0003767117,0.0001638049,0.0001945167,0.0002660355,0.0001398304,0.0002049221],"category_scores_gemma":[0.000173281,0.000475061,0.0001580045,0.0009479728,0.00001181861,0.0001219054,0.0001281575,0.0003556198,0.00002941138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002214217,"about_ca_system_score_gemma":0.0000289949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001253645,"about_ca_topic_score_gemma":0.00003002155,"domain_scores_codex":[0.9983222,0.00002372236,0.0003534485,0.0004559625,0.0002832744,0.0005614326],"domain_scores_gemma":[0.998801,0.0001140571,0.00002757747,0.0005745757,0.0001004022,0.0003824213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002094812,0.000001551822,0.00001499476,0.00003444876,0.00009320835,0.0000399405,0.0001678564,0.5128857,0.4860889,0.0004402439,0.0001580587,0.00007303129],"study_design_scores_gemma":[0.0001649061,0.0000186799,0.002750926,0.00008845004,0.00008501084,0.00006711442,0.00009646164,0.3156061,0.6798305,0.0001939744,0.000594216,0.000503607],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.897691,0.000102822,0.0996359,0.0001281504,0.00119872,0.000208611,0.00008165996,0.0008174661,0.0001356625],"genre_scores_gemma":[0.9391749,0.000002839778,0.06002937,0.0002701018,0.0002297691,0.00001953992,0.00002386012,0.0001132028,0.0001364022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1972795,"threshold_uncertainty_score":0.9997701,"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."}}