{"id":"W2378894982","doi":"","title":"Topological optimization of frame structures with stiffness and strength constraints","year":2008,"lang":"en","type":"article","venue":"Jisuan lixue xuebao","topic":"Civil and Geotechnical Engineering Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Topology (electrical circuits); Mathematics; Mathematical optimization; Convergence (economics); Topology optimization; Frame (networking); Stiffness; Topological space; Dual (grammatical number); Finite element method; Applied mathematics; Computer science; Structural engineering; Discrete mathematics; Engineering","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":[0.0004787176,0.000715738,0.000733331,0.0009961578,0.0003373954,0.000683039,0.0006547353,0.0006366989,0.002074902],"category_scores_gemma":[0.001349575,0.000312704,0.0005410296,0.0006140145,0.000608873,0.0009570107,0.0007723841,0.0003957739,0.000273131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007348197,"about_ca_system_score_gemma":0.0008862866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001899532,"about_ca_topic_score_gemma":0.001799093,"domain_scores_codex":[0.9997583,0.00006165383,0.00001022237,0.0000455507,0.00008470527,0.00003950168],"domain_scores_gemma":[0.9997367,0.0001031304,0.00004666869,0.00002511467,0.0000711215,0.00001710349],"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":[0.00003824262,0.00002621622,0.0006977968,0.00007931524,0.00001346162,0.00007184831,0.00004657378,0.9031416,0.00571755,0.04644688,0.0007086786,0.04301187],"study_design_scores_gemma":[0.000006217769,0.00002649571,0.0001328432,0.000003104762,0.000005281036,0.00001824606,0.00001665795,0.9930452,0.0009878466,0.005104445,0.0006488358,0.000004783802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04990746,0.00008296804,0.9448666,0.00007245178,0.00002814641,0.0000200597,0.00005653856,0.0001343181,0.004831524],"genre_scores_gemma":[0.7293673,0.0001688989,0.2654172,0.00003717854,0.00003492843,0.0001499393,0.0002518774,0.0001601175,0.00441248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002074902,"threshold_uncertainty_score":0.006941199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140928075626638,"score_gpt":0.2194870571733612,"score_spread":0.2080777764170949,"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."}}