{"id":"W3124033295","doi":"","title":"A deterministic approach for shape and topology optimization under uncertain loads","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Topology optimization; Mathematical optimization; Minification; Context (archaeology); Topology (electrical circuits); Set (abstract data type); Computer science; Shape optimization; Function (biology); Optimization problem; Mathematics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00116258,0.0003430632,0.0003930467,0.0002232461,0.0001370997,0.0001612995,0.0005084496,0.000488222,0.00007463949],"category_scores_gemma":[0.0003752006,0.0004122135,0.00009792815,0.000166785,0.0001821987,0.00008721798,0.0004037103,0.000424748,0.000004541799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001235736,"about_ca_system_score_gemma":0.00008514946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003690468,"about_ca_topic_score_gemma":0.00002558159,"domain_scores_codex":[0.9979554,0.0005851962,0.0004191366,0.0005667908,0.0001355244,0.0003379958],"domain_scores_gemma":[0.9973383,0.0008747315,0.0001502721,0.0009751382,0.000552576,0.0001089597],"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":[0.000003908588,0.00004201641,0.0001339291,0.0003866623,0.0000635966,4.577671e-7,0.001013508,0.9839628,0.0001292492,0.01224703,0.0001845094,0.001832282],"study_design_scores_gemma":[0.0004181295,4.21859e-7,0.0001508147,0.0002002644,0.00005020127,0.00001292759,0.00007417355,0.9966764,0.0008399521,0.0007246705,0.0004868766,0.0003651425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00501202,0.0009294689,0.9826236,0.0007181751,0.0004071601,0.0006847113,0.00006333101,0.0004861726,0.009075295],"genre_scores_gemma":[0.5444804,0.0004363617,0.4523822,0.00004970737,0.00003001578,0.0002305423,0.0007743,0.0001038114,0.001512627],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5394684,"threshold_uncertainty_score":0.999833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436847701842598,"score_gpt":0.2244471722118246,"score_spread":0.2100786951933986,"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."}}