{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001336787,0.001082587,0.00183742,0.001163636,0.0006838379,0.001755652,0.001909651,0.002454529,0.003867744],"category_scores_gemma":[0.004954973,0.001639777,0.001702102,0.001387049,0.001689459,0.001315483,0.001789053,0.001561482,0.0003821123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002159164,"about_ca_system_score_gemma":0.001581738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008521909,"about_ca_topic_score_gemma":0.007917529,"domain_scores_codex":[0.9992245,0.0002224528,0.00003281382,0.00016068,0.0002920483,0.00006750292],"domain_scores_gemma":[0.9978595,0.001434456,0.0002329862,0.0001386263,0.0002562814,0.00007809494],"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":[0.000006487551,0.000005916155,0.00005124355,0.00002531896,0.00001233202,0.00001632531,0.000008005534,0.9826026,0.0002022603,0.01437269,0.0001874404,0.002509485],"study_design_scores_gemma":[0.000001767801,0.000003647052,0.00002265663,0.000002608908,0.00000255466,0.000003559556,0.000001600215,0.9924309,0.00003480432,0.007256715,0.0002366303,0.000002643545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004701738,0.0002796318,0.9907899,0.0003219068,0.00007571485,0.00002456829,0.00009984358,0.00005826024,0.003648447],"genre_scores_gemma":[0.6521192,0.001705311,0.3221731,0.000462253,0.0005698382,0.0004837669,0.0004690972,0.0003799213,0.02163748],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008521909,"threshold_uncertainty_score":0.01694465,"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."}}