{"id":"W1992671845","doi":"10.1007/s00158-012-0763-y","title":"Extensions to the design structure matrix for the description of multidisciplinary design, analysis, and optimization processes","year":2012,"lang":"en","type":"article","venue":"Structural and Multidisciplinary Optimization","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":500,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Design structure matrix; Computer science; Multidisciplinary design optimization; Engineering design process; Representation (politics); Diagram; Process (computing); Data flow diagram; Matrix (chemical analysis); Multidisciplinary approach; Field (mathematics); Dependency (UML); Design process; Theoretical computer science; Engineering drawing; Industrial engineering; Systems engineering; Software engineering; Work in process; Mathematics; Engineering; Mechanical engineering; Programming language","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":[0.001947595,0.001661394,0.0008990921,0.0009439088,0.0006311325,0.001198732,0.001896376,0.001229397,0.01136182],"category_scores_gemma":[0.004882064,0.0006997012,0.001712306,0.001194989,0.0005001377,0.001536763,0.001161725,0.002525265,0.002564682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000784998,"about_ca_system_score_gemma":0.00145654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003731219,"about_ca_topic_score_gemma":0.006569127,"domain_scores_codex":[0.9989728,0.0004092031,0.00006108053,0.00007565563,0.0004291803,0.00005210582],"domain_scores_gemma":[0.9982606,0.0008386854,0.0001588357,0.0002610111,0.0004244171,0.0000565844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000271483,0.00009907129,0.0004047958,0.0001502893,0.00005438473,0.0001482713,0.0000896362,0.7063595,0.002567253,0.2322629,0.004626521,0.05321025],"study_design_scores_gemma":[0.000007227669,0.00001506422,0.00006078191,0.00002103112,0.00000928083,0.00003338964,0.00001026049,0.9486566,0.0004124287,0.04270531,0.008059455,0.000009154231],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009580317,0.0001065432,0.9946956,0.0001010548,0.00004558258,0.00003463942,0.0001097733,0.0001342941,0.003814561],"genre_scores_gemma":[0.1171074,0.0006299188,0.8672251,0.000244207,0.000154535,0.000746301,0.0005968728,0.0005096443,0.01278603],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01136182,"threshold_uncertainty_score":0.03800905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02908528253118472,"score_gpt":0.2632087956105699,"score_spread":0.2341235130793851,"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."}}