{"id":"W2064332345","doi":"10.1109/mesa.2008.4735689","title":"A New Topology Optimization Method for Multi-physics Micro Domains","year":2008,"lang":"en","type":"article","venue":"","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Topology optimization; Discretization; Actuator; Finite element method; Topology (electrical circuits); Scheme (mathematics); Computer science; Constraint (computer-aided design); Frame (networking); Domain (mathematical analysis); Microelectromechanical systems; Mathematical optimization; Mechanical engineering; Engineering; Structural 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":[],"consensus_categories":[],"category_scores_codex":[0.00004954499,0.0001540151,0.0001808439,0.00007349435,0.00007827114,0.000007375561,0.0001127148,0.0001392698,0.0001840385],"category_scores_gemma":[0.00003004798,0.0001700151,0.00006238597,0.0001632376,0.00002683437,0.0001117745,0.00001745193,0.00008757518,0.00001414028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005170648,"about_ca_system_score_gemma":0.00002357931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001479552,"about_ca_topic_score_gemma":0.000004896202,"domain_scores_codex":[0.9993235,0.00001200373,0.0001986691,0.0001632112,0.00004535493,0.0002572038],"domain_scores_gemma":[0.999607,0.00007925236,0.00001980794,0.000174467,0.00003995961,0.00007951723],"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":[0.000002916906,0.000008115777,0.0000580503,0.00001221092,0.00003401453,0.000001389626,0.0001867847,0.9911862,0.0009076588,0.003264711,0.003596237,0.0007417147],"study_design_scores_gemma":[0.0007726952,0.00001644,0.00004121513,0.000002269816,0.00001299065,0.00004062772,0.0000195619,0.9893302,0.007037606,0.0001011303,0.002437972,0.0001872545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000136834,0.00008888123,0.9968555,0.00008107013,0.0005918876,0.0002357798,0.000006630215,0.0007864474,0.001216948],"genre_scores_gemma":[0.002105776,0.00006234983,0.9957331,0.00008984806,0.0001872501,0.00003880734,0.00002534772,0.00006138706,0.001696093],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006129947,"threshold_uncertainty_score":0.6933016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02239854271825742,"score_gpt":0.2739716283546788,"score_spread":0.2515730856364214,"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."}}