{"id":"W2294430291","doi":"10.3233/ifs-141321","title":"A linguistic approach to concurrent design","year":2015,"lang":"en","type":"article","venue":"Journal of Intelligent & Fuzzy Systems","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Calgary","funders":"","keywords":"Pareto principle; Computer science; Fuzzy logic; Multidisciplinary approach; Mathematical optimization; Multidisciplinary design optimization; Parametric design; State space; Parametric statistics; Optimal design; Artificial intelligence; Mathematics; Machine learning","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":[0.005395271,0.0007166615,0.0004442444,0.001837469,0.002080104,0.003524259,0.002085414,0.001286349,0.005945301],"category_scores_gemma":[0.007060575,0.0005456437,0.001283947,0.0010152,0.00532499,0.002715037,0.002682719,0.001800978,0.0006065958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002928185,"about_ca_system_score_gemma":0.002542737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002476883,"about_ca_topic_score_gemma":0.002406639,"domain_scores_codex":[0.9953879,0.002286464,0.0003174671,0.0003693999,0.001459516,0.0001793939],"domain_scores_gemma":[0.9962072,0.001786212,0.0003307555,0.0004981215,0.001027895,0.0001498822],"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":[0.00002042093,0.00003428372,0.0001256915,0.0001496389,0.00001904781,0.0001044482,0.0008076198,0.03539243,0.001781518,0.9375031,0.0005812842,0.02348042],"study_design_scores_gemma":[0.00004707656,0.0001032696,0.0001132407,0.0001931273,0.00004278479,0.0001505011,0.0003834087,0.1856647,0.003126962,0.7534992,0.05663363,0.0000421755],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002472835,0.0002447446,0.9795582,0.0004831634,0.0000708839,0.00008791377,0.00001415587,0.00007595368,0.01699225],"genre_scores_gemma":[0.2170636,0.0004181917,0.7732192,0.0002682168,0.0000951433,0.000499741,0.00003557736,0.00007935546,0.008320974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005945301,"threshold_uncertainty_score":0.02853328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1269293446940517,"score_gpt":0.3112476553743122,"score_spread":0.1843183106802605,"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."}}