{"id":"W2083061379","doi":"10.1007/s001580100104","title":"On buckling optimization under uncertain loading combinations","year":2001,"lang":"en","type":"article","venue":"Structural and Multidisciplinary Optimization","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Christian Studies; Pontifical Institute of Mediaeval Studies","funders":"Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Buckling; Mathematical optimization; Regular polygon; Boundary (topology); Mathematics; Stability (learning theory); Set (abstract data type); Critical load; Boundary value problem; Optimization problem; Engineering design process; Structural engineering; Computer science; Engineering; Geometry; Mathematical analysis; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004758315,0.0002071783,0.0002125567,0.0002805981,0.0007277312,0.0002090836,0.0002253598,0.0001105173,0.0002337167],"category_scores_gemma":[0.000621003,0.0001512716,0.00005448977,0.0006840393,0.0001006627,0.0004610412,0.0001025174,0.0001407838,0.00001213874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007280528,"about_ca_system_score_gemma":0.00003113638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007804763,"about_ca_topic_score_gemma":0.00000229352,"domain_scores_codex":[0.9982125,0.0000961414,0.0004453424,0.0004910016,0.000504214,0.0002508701],"domain_scores_gemma":[0.9986466,0.0005686405,0.0001488196,0.0002738948,0.0002356376,0.0001264664],"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":[0.00003782149,0.00001868047,0.0003246395,0.00000452894,0.000007309214,0.000003884001,0.000241557,0.9813206,0.00003561551,0.01661638,0.00007008667,0.001318968],"study_design_scores_gemma":[0.0005986207,0.00008803732,0.001838865,0.00002576423,0.00001961722,0.00003081112,0.0003775176,0.9640987,0.00001379001,0.03268603,0.0000145743,0.0002076787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07633051,0.00007554322,0.920691,0.0008974505,0.0005276348,0.0002586913,0.000008711782,0.0001137662,0.001096678],"genre_scores_gemma":[0.9115323,0.00005517312,0.08725666,0.00005847653,0.00007836298,0.0000114142,0.00006429877,0.00001855471,0.0009247688],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8352018,"threshold_uncertainty_score":0.6168677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05933943060274317,"score_gpt":0.3382383270295422,"score_spread":0.278898896426799,"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."}}