{"id":"W2090701678","doi":"10.1115/1.2406099","title":"Model-based Rapid Redesign Using Decomposition Patterns","year":2006,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University of Toronto","funders":"","keywords":"Expediting; Computer science; Design structure matrix; Process (computing); Decomposition; Selection (genetic algorithm); Industrial engineering; Agile manufacturing; Agile software development; Systems engineering; Engineering; Artificial intelligence; Software engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00113546,0.000146142,0.000227253,0.0002910616,0.0001267396,0.0001736404,0.0002048439,0.00008483986,0.0001126069],"category_scores_gemma":[0.00006651993,0.0001267993,0.000112666,0.0002643715,0.00001018247,0.0008621782,0.00002645222,0.000143544,0.00001820742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008053349,"about_ca_system_score_gemma":0.00008394434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001273112,"about_ca_topic_score_gemma":0.00000144576,"domain_scores_codex":[0.9986696,0.00004023217,0.0005518718,0.0001481551,0.000387669,0.0002025055],"domain_scores_gemma":[0.9989478,0.00003245278,0.0005741354,0.000108581,0.0003208897,0.00001614713],"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":[0.001100308,0.0006537511,0.0006908314,0.0001577436,0.00007489548,0.0001152702,0.00001342196,0.6629561,0.2872709,0.01737522,0.01824896,0.01134262],"study_design_scores_gemma":[0.001083038,0.00003275523,0.000229534,0.0001185717,0.0001138997,0.00001470668,0.000008923024,0.9574852,0.01584514,0.02448242,0.0003661531,0.0002196473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04506159,0.00004467398,0.9536245,0.0005351418,0.0003459259,0.0001426226,3.972374e-7,0.00003393438,0.0002111738],"genre_scores_gemma":[0.941468,0.000003709265,0.05650069,0.0007929042,0.001178673,0.00000178462,0.000007551585,0.00002425643,0.00002245745],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8971239,"threshold_uncertainty_score":0.5170724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04235585951702486,"score_gpt":0.2464235953946274,"score_spread":0.2040677358776026,"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."}}