{"id":"W3186924071","doi":"10.1007/s00158-022-03200-5","title":"Optimal design of responsive structures","year":2022,"lang":"en","type":"article","venue":"Structural and Multidisciplinary Optimization","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Division of Mathematical Sciences; McMaster University; California Institute of Technology; National Science Foundation","keywords":"Actuator; Topology optimization; Optimal design; Engineering design process; Computer science; Intuition; Torque; Topology (electrical circuits); Control theory (sociology); Iterative design; Mathematical optimization; Control engineering; Mathematics; Mechanical engineering; Engineering; Finite element method; Structural engineering; Control (management); Physics","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":[0.0006065154,0.0006529329,0.000854688,0.000614228,0.0004132206,0.001210686,0.0008485856,0.001565963,0.003502278],"category_scores_gemma":[0.001717127,0.0006581339,0.0004666045,0.0003609097,0.001042186,0.0007950633,0.001500598,0.0008173247,0.0005888902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008051908,"about_ca_system_score_gemma":0.0007452009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007828178,"about_ca_topic_score_gemma":0.0008383204,"domain_scores_codex":[0.9996889,0.0001162365,0.000006127615,0.00004702385,0.00009254995,0.00004927883],"domain_scores_gemma":[0.9997095,0.0001441818,0.00004232039,0.00002180664,0.00004814095,0.00003400318],"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":[0.0000596127,0.0000551341,0.0001280285,0.00007033363,0.00001915338,0.00004419199,0.00004551469,0.923964,0.006025237,0.05720104,0.0006952924,0.01169251],"study_design_scores_gemma":[0.00001784608,0.00005198586,0.00007495815,0.00001193062,0.000007777429,0.00001351192,0.00003320999,0.9789011,0.001064015,0.01855509,0.001260058,0.000008491786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1016062,0.0008572371,0.8201804,0.0008643705,0.0001651026,0.0001228407,0.00008948367,0.0002238034,0.07589063],"genre_scores_gemma":[0.9187506,0.0006056904,0.06185598,0.000271958,0.00007629328,0.0003029701,0.00009027399,0.0001286657,0.01791766],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003502278,"threshold_uncertainty_score":0.01171631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009966524139713299,"score_gpt":0.2305014582967421,"score_spread":0.2205349341570288,"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."}}