{"id":"W3180182513","doi":"10.23967/coupled.2021.003","title":"A deterministic approach for shape and topology optimisation under material uncertainty in additive manufacturing","year":2021,"lang":"en","type":"article","venue":"","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Topology (electrical circuits); Surface roughness; Mathematical optimization; Surface finish; Network topology; Modulus; Context (archaeology); Mathematics; Topology optimization; Cantilever; Computer science; Structural engineering; Geometry; Finite element method; Materials science; Engineering; Mechanical engineering; Composite material","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":[0.001379229,0.0008434372,0.001009989,0.0008209125,0.000379066,0.001114796,0.001396384,0.001617049,0.001155609],"category_scores_gemma":[0.003704999,0.0007333859,0.00133324,0.0006331173,0.001568635,0.0008382757,0.001696905,0.001269089,0.000205573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101452,"about_ca_system_score_gemma":0.0009456096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001663012,"about_ca_topic_score_gemma":0.001226737,"domain_scores_codex":[0.9986802,0.0003695464,0.00005374604,0.0001604424,0.0006611667,0.00007497093],"domain_scores_gemma":[0.9984083,0.001044922,0.0001960254,0.0001449935,0.0001734828,0.000032292],"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":[0.000005354977,0.000005437651,0.00005952052,0.00002945605,0.00001234863,0.00001361627,0.00001052425,0.9853328,0.0008340769,0.00875184,0.00006940533,0.00487556],"study_design_scores_gemma":[0.000001773136,0.00001500308,0.00004593422,0.000003583129,0.00000284158,0.000007759054,0.000001705851,0.9948105,0.0002936844,0.004578521,0.0002347616,0.000003836452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002690872,0.00009703841,0.9961609,0.0000615312,0.00001084008,0.00001311714,0.00001738231,0.00003593817,0.0009124435],"genre_scores_gemma":[0.5907648,0.000544083,0.4047344,0.0001627058,0.000118736,0.0003828274,0.000154015,0.0001457551,0.002992714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001663012,"threshold_uncertainty_score":0.007991612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187371164922806,"score_gpt":0.2246497811050212,"score_spread":0.2127760694557931,"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."}}