{"id":"W3211412245","doi":"10.1016/j.ifacol.2021.08.078","title":"Topological Optimization and Simulated Annealing","year":2021,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Simulated annealing; Topology optimization; Discontinuity (linguistics); Minification; Crystallization; Topology (electrical circuits); Annealing (glass); Mathematical optimization; Convergence (economics); Cantilever; Computer science; Derivative (finance); Algorithm; Mathematics; Materials science; Mathematical analysis; Physics; Finite element method; Engineering; Structural 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005631899,0.0001610623,0.0001844549,0.00006094293,0.00006885202,0.00003272686,0.0000621011,0.0001674322,0.0004296308],"category_scores_gemma":[0.00009831238,0.0001722653,0.00003256674,0.0002379666,0.00004953101,0.0001144021,0.00003582477,0.0001761586,0.000009130687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003482341,"about_ca_system_score_gemma":0.00001123466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002904234,"about_ca_topic_score_gemma":0.000003871063,"domain_scores_codex":[0.9992425,0.00002038741,0.0002047524,0.0002114855,0.00008518218,0.0002356769],"domain_scores_gemma":[0.9996071,0.00007271318,0.00001737791,0.0001536376,0.00006033921,0.00008878177],"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":[0.000002068505,0.000009201827,0.0003776182,0.00002133739,0.00002812854,0.00003246533,0.0001185513,0.996554,0.002150334,0.0002209802,0.000003460581,0.0004818983],"study_design_scores_gemma":[0.0003493605,0.00001281078,0.0003252701,0.00001525236,0.00001651171,0.00005334126,0.0001269211,0.9971941,0.001456061,0.00002359952,0.0002345737,0.0001921676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3881632,0.003354765,0.6018885,0.001073827,0.001001916,0.0001712269,0.00003854736,0.001718531,0.002589457],"genre_scores_gemma":[0.3791345,0.0004616121,0.6197191,0.000156215,0.0001486056,0.000003630338,0.0001116255,0.00004425344,0.0002204322],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01783061,"threshold_uncertainty_score":0.7024776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007338491980284859,"score_gpt":0.2105918107784862,"score_spread":0.2032533187982013,"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."}}