{"id":"W2141721194","doi":"10.1109/icsmc.2003.1245692","title":"Design flow robustness evaluation","year":2004,"lang":"en","type":"article","venue":"","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Robustness (evolution); Computer science; Reliability engineering; Design flow; Mathematical optimization; Risk analysis (engineering); Control theory (sociology); Engineering; Mathematics; Artificial intelligence; Control (management)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005827187,0.0001029233,0.0001449544,0.0001388512,0.00009319041,0.0001296168,0.0004289705,0.0000656936,0.00117147],"category_scores_gemma":[0.003311293,0.00006638873,0.00004924642,0.0005596495,0.0000413991,0.0002215936,0.00003680092,0.00006920882,0.0006420161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009678773,"about_ca_system_score_gemma":0.0002200459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005967921,"about_ca_topic_score_gemma":0.000001791988,"domain_scores_codex":[0.9975852,0.0001389656,0.0003373227,0.0003291416,0.001416779,0.0001925654],"domain_scores_gemma":[0.9984511,0.0005335118,0.0000527113,0.0004546039,0.0004202377,0.00008780547],"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":[0.000005811667,0.00002184152,0.000006422453,6.613934e-7,0.000003414237,0.000001906754,0.00008918189,0.9745942,0.0001045677,0.003140092,0.00202923,0.02000261],"study_design_scores_gemma":[0.0004805505,0.00003707975,0.0002778852,0.000006774787,0.00001136318,0.000008925798,0.00005230874,0.9018609,0.0007043306,0.09603526,0.0004028846,0.0001217683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002254087,0.00007291303,0.9925748,0.0004868997,0.0004309651,0.0002843853,5.746936e-7,0.0001036666,0.003791783],"genre_scores_gemma":[0.6555195,0.00000168989,0.3433238,0.00007494395,0.00006501579,0.00002704894,0.000001289339,0.000008147166,0.0009785958],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6532654,"threshold_uncertainty_score":0.9997416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2186283275115473,"score_gpt":0.3702857565994957,"score_spread":0.1516574290879484,"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."}}