{"id":"W4388105263","doi":"10.21203/rs.3.rs-3446221/v1","title":"Structures under Multiple Design-Dependent Loads: Topology Optimization Enabled by Load Thresholding and Sensitivity Scaling","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Waterloo","funders":"","keywords":"Thermoelastic damping; Topology optimization; Sensitivity (control systems); Topology (electrical circuits); Inertia; Scaling; Mathematical optimization; Control theory (sociology); Structural engineering; Computer science; Mathematics; Mechanics; Engineering; Finite element method; Physics; Thermal; Geometry; Classical mechanics; Thermodynamics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001954768,0.0004769004,0.0005391457,0.000636748,0.0003264048,0.0002607612,0.0002471535,0.0009299648,0.0001047298],"category_scores_gemma":[0.0007892468,0.0005407443,0.00007929123,0.0004181397,0.0002571057,0.0001681869,0.000905586,0.00201069,0.0000182755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007969287,"about_ca_system_score_gemma":0.000156213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003039092,"about_ca_topic_score_gemma":0.00007221083,"domain_scores_codex":[0.9963604,0.0005257372,0.0004699325,0.0008315968,0.0008065671,0.001005821],"domain_scores_gemma":[0.9973334,0.001376919,0.00006568553,0.0006314954,0.0003576059,0.0002348968],"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":[0.00001890731,0.00001303246,0.000418271,0.0005985483,0.0001367003,0.00005722521,0.0003565022,0.994558,0.002056926,0.0001979018,0.001375926,0.0002120284],"study_design_scores_gemma":[0.0004717007,0.00002602394,0.0004372205,0.0002251022,0.00002170587,0.00002553394,0.0004739863,0.9914665,0.004773555,0.001551405,0.0000525052,0.0004747444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02942455,0.002161386,0.964368,0.0002481224,0.001036337,0.001117945,0.0001466873,0.001354512,0.0001424916],"genre_scores_gemma":[0.9668394,0.001848131,0.03020092,0.00001620678,0.0002445937,0.0001875969,0.0002239659,0.0002409077,0.000198216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9374149,"threshold_uncertainty_score":0.9997044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05462190449679345,"score_gpt":0.3249875715318354,"score_spread":0.270365667035042,"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."}}