{"id":"W2554319423","doi":"10.1145/2980179.2982436","title":"Stochastic structural analysis for context-aware design and fabrication","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Israel Science Foundation; National Science Foundation","keywords":"Computer science; Fragility; Exploit; Context (archaeology); Property (philosophy); Object (grammar); Finite element method; Mathematical optimization; Measure (data warehouse); Topology (electrical circuits); Algorithm; Theoretical computer science; Artificial intelligence; Mathematics; Structural engineering; Data mining; 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":[0.001125347,0.001084828,0.0009262471,0.001133709,0.0005448589,0.001096041,0.001324732,0.001117634,0.003472238],"category_scores_gemma":[0.00369426,0.0009177567,0.001333404,0.0006451338,0.001236575,0.001122883,0.001406798,0.001220892,0.000608289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450361,"about_ca_system_score_gemma":0.001401309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002438726,"about_ca_topic_score_gemma":0.003587531,"domain_scores_codex":[0.9989401,0.000262169,0.0000416629,0.0001280265,0.0005505,0.00007758154],"domain_scores_gemma":[0.9987143,0.0007148783,0.0001598338,0.0002170823,0.0001570867,0.0000368386],"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":[0.000008279862,0.000009468469,0.0002098406,0.00004365106,0.0000186918,0.00002613194,0.00002509946,0.9578087,0.002313259,0.02959936,0.0002261579,0.009711435],"study_design_scores_gemma":[0.000002477813,0.000008076376,0.00005383524,0.00000685713,0.000004755211,0.0000105926,0.000005260909,0.9813937,0.000533697,0.01690901,0.001067598,0.00000418903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003781476,0.0001023683,0.9944377,0.0000743682,0.0000170026,0.00001962901,0.00003330996,0.0002146801,0.00131947],"genre_scores_gemma":[0.432728,0.000700902,0.5610598,0.0001865064,0.00006755284,0.0004182889,0.0002658674,0.000377135,0.004195928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003472238,"threshold_uncertainty_score":0.01161581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796567860928922,"score_gpt":0.2329449096850391,"score_spread":0.2149792310757498,"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."}}