{"id":"W2142963981","doi":"10.1260/136943305776318428","title":"Optimal Stiffness Distribution of Steel Moment Frames under Extreme Earthquake Loading","year":2005,"lang":"en","type":"article","venue":"Advances in Structural Engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Federal Emergency Management Agency; Lakehead University","keywords":"Structural engineering; Moment (physics); Stiffness; Sizing; Ductility (Earth science); Limit state design; Nonlinear system; Frame (networking); Seismic analysis; Limit (mathematics); Optimal design; Moment distribution method; Engineering; Computer science; Mathematics; Mathematical analysis; Materials science; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002897495,0.0003650023,0.0002950047,0.0002838116,0.0001752195,0.0002822511,0.0002706626,0.0003549016,0.001022888],"category_scores_gemma":[0.0006712058,0.0002696575,0.0001527895,0.0001444567,0.0003115266,0.0003056419,0.0002777753,0.0001995262,0.0001542429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004092065,"about_ca_system_score_gemma":0.0003093451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005711864,"about_ca_topic_score_gemma":0.001118711,"domain_scores_codex":[0.9998835,0.00003198167,0.000003619948,0.00001863166,0.00004207248,0.00002020655],"domain_scores_gemma":[0.9998912,0.00004539771,0.00002510581,0.000006907846,0.00002239635,0.00000898116],"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":[0.0001699238,0.00003560502,0.0008548448,0.00007720202,0.00001285788,0.0001139241,0.0001210235,0.8634106,0.07310187,0.01166692,0.0003819284,0.05005324],"study_design_scores_gemma":[0.00002489451,0.0001403405,0.000935273,0.00001126326,0.00001137551,0.00004762857,0.00004391153,0.9806725,0.01325164,0.003816275,0.001030656,0.00001421201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2329593,0.000156382,0.761651,0.000068161,0.00001137144,0.0000232119,0.00003318321,0.00009016992,0.005007243],"genre_scores_gemma":[0.9444585,0.0001138442,0.05405882,0.00001338469,0.00000995184,0.00003803828,0.00002729913,0.00003557514,0.001244578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001022888,"threshold_uncertainty_score":0.003421843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0069743907727807,"score_gpt":0.2223399972054119,"score_spread":0.2153656064326312,"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."}}