{"id":"W2590241631","doi":"10.1007/978-3-319-52425-2_13","title":"Using FORM for Minimizing the Uncertain Cost of Structural Designs","year":2017,"lang":"en","type":"book-chapter","venue":"Springer series in reliability engineering","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Differentiable function; Mathematical optimization; Reliability (semiconductor); Random variable; Function (biology); Distribution (mathematics); Computer science; Mathematics; Statistics","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":[0.002194694,0.001812579,0.001309191,0.0009680294,0.0004449346,0.001896462,0.001687098,0.001810022,0.006765703],"category_scores_gemma":[0.008510925,0.0007665879,0.001251927,0.001349912,0.001227309,0.002697372,0.001921047,0.002162495,0.00136977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223846,"about_ca_system_score_gemma":0.0008931499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007314629,"about_ca_topic_score_gemma":0.0008817406,"domain_scores_codex":[0.998606,0.0006041059,0.00006929256,0.0001913557,0.0004699781,0.00005928733],"domain_scores_gemma":[0.9985499,0.0008280262,0.0001041886,0.0002310922,0.0002547677,0.00003203883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007251324,0.00007097703,0.0002699017,0.0004471571,0.00006493632,0.00007667168,0.000146555,0.3821391,0.005900516,0.4242289,0.0072713,0.1793114],"study_design_scores_gemma":[0.00001070847,0.00009888504,0.0001405599,0.0000730652,0.00003686177,0.00009860986,0.00002586061,0.6923392,0.00200159,0.2939455,0.0112134,0.0000157232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002197301,0.000336255,0.9922708,0.0001895166,0.00006708458,0.00003111326,0.00004564503,0.00006040166,0.004801819],"genre_scores_gemma":[0.1525113,0.001804459,0.8244624,0.0002260015,0.0003710368,0.0004099353,0.0002761227,0.0007550529,0.01918378],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006765703,"threshold_uncertainty_score":0.02263349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2031390037217352,"score_gpt":0.3632661383023304,"score_spread":0.1601271345805952,"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."}}