{"id":"W2147607402","doi":"10.24908/pceea.v0i0.3921","title":"GLOBALLY ROBUST ENGINEERING DESIGN USING COMPLEXITY RULES","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Engineering design process; Variance (accounting); Entropy (arrow of time); Set (abstract data type); Complexity index; Process (computing); Industrial engineering; Theoretical computer science; Algorithm; Mathematical optimization; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003024873,0.001023195,0.001013733,0.001772439,0.000571806,0.00298534,0.0008531631,0.0009537602,0.001892593],"category_scores_gemma":[0.007547759,0.0003890768,0.001479785,0.0008634124,0.00306377,0.003750319,0.002705774,0.001761324,0.0004987224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001145165,"about_ca_system_score_gemma":0.000755618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004715497,"about_ca_topic_score_gemma":0.0003677336,"domain_scores_codex":[0.9963923,0.000916505,0.0002949196,0.0006015337,0.001631886,0.0001628255],"domain_scores_gemma":[0.9963849,0.001863384,0.0004978444,0.0005645654,0.0005832936,0.0001060865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000031286,0.0000167018,0.0003008001,0.00008317702,0.00003257392,0.00006941037,0.0001220417,0.122503,0.005017101,0.8350059,0.0004012265,0.03641679],"study_design_scores_gemma":[0.0000137601,0.00008460023,0.0002098029,0.00003633749,0.00002274408,0.00009730761,0.00003588227,0.304443,0.003845839,0.6851856,0.005991625,0.00003366526],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004684611,0.000132005,0.9907128,0.00006417173,0.0000151088,0.00001843659,0.00001246469,0.00005092957,0.004309481],"genre_scores_gemma":[0.5023078,0.0008593742,0.4884079,0.0001744259,0.0002031432,0.0003443176,0.0001535,0.0002274506,0.007322003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003024873,"threshold_uncertainty_score":0.01599729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05897436212173218,"score_gpt":0.2173834013819595,"score_spread":0.1584090392602273,"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."}}