{"id":"W2000215570","doi":"10.1115/detc2013-13006","title":"Effective Reverse Engineering of Qualitative Design Knowledge: A Case Study of Aerospace Pylon Design","year":2013,"lang":"en","type":"article","venue":"Volume 4: 18th Design for Manufacturing and the Life Cycle Conference; 2013 ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications","topic":"Technology Assessment and Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; École de Technologie Supérieure; Concordia University","funders":"","keywords":"Capstone; Aerospace; Engineering management; Design knowledge; Computer science; Product design; Curriculum; Product lifecycle; Knowledge management; New product development; Engineering; Product (mathematics); Operations management; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01371585,0.0007123737,0.0005887821,0.001506204,0.004089167,0.002778706,0.002300839,0.002961547,0.002920117],"category_scores_gemma":[0.01865721,0.0006227678,0.0008651081,0.001424995,0.00478908,0.002359493,0.003581288,0.00208972,0.0005304301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003263133,"about_ca_system_score_gemma":0.002953836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00325168,"about_ca_topic_score_gemma":0.009627276,"domain_scores_codex":[0.9847261,0.01174084,0.0004097488,0.0006511876,0.001814507,0.0006575736],"domain_scores_gemma":[0.9674236,0.02679002,0.001113712,0.002277862,0.001817575,0.0005773497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005348935,0.003669669,0.01390094,0.002022868,0.00007481648,0.02479423,0.7193097,0.01794771,0.02030403,0.03082981,0.003726619,0.1628847],"study_design_scores_gemma":[0.0002390982,0.002690273,0.01181546,0.001227694,0.00010873,0.00866186,0.7241267,0.0382033,0.04044478,0.01832421,0.1539301,0.0002278501],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.882926,0.0003339435,0.09877008,0.001390381,0.00004134766,0.0008021628,0.0001635732,0.00007829873,0.01549403],"genre_scores_gemma":[0.9247296,0.0004339826,0.06552249,0.0003301587,0.0000128877,0.0004289603,0.0001745328,0.00008647882,0.00828089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01371585,"threshold_uncertainty_score":0.07253718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05778143921730841,"score_gpt":0.3120656877513391,"score_spread":0.2542842485340308,"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."}}