{"id":"W2071048257","doi":"10.1115/detc2010-28262","title":"Estimating the Relative Importance of Iterative Information Coupling in the Design Process","year":2010,"lang":"en","type":"article","venue":"","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Design structure matrix; Computer science; Dependency (UML); Process (computing); New product development; Project plan; Plan (archaeology); Resource (disambiguation); Iterative and incremental development; Product (mathematics); Process management; Systems engineering; Industrial engineering; Software engineering; Engineering; Mathematics","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":[0.01091305,0.0007816752,0.0004786551,0.006731573,0.0007553998,0.001691194,0.0005334624,0.0006356334,0.000631687],"category_scores_gemma":[0.07869399,0.0006377408,0.0004733241,0.002665797,0.001059052,0.003313035,0.001703438,0.0007082995,0.0001140699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425119,"about_ca_system_score_gemma":0.001079191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002215901,"about_ca_topic_score_gemma":0.003033493,"domain_scores_codex":[0.9893533,0.004943406,0.001002561,0.000795816,0.003527005,0.0003778423],"domain_scores_gemma":[0.8534745,0.1190238,0.0132822,0.004074116,0.008945708,0.001199716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001347494,0.0002178676,0.5560915,0.0005389501,0.0004067836,0.0004379313,0.004138886,0.1456973,0.02979194,0.007302702,0.0002324504,0.2537961],"study_design_scores_gemma":[0.00006618628,0.001553662,0.4043988,0.0001364884,0.0005944349,0.001181695,0.002571965,0.5262855,0.04609223,0.01463792,0.00224145,0.0002398413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8781666,0.0002548973,0.1181545,0.00007975721,0.000006593909,0.0001136929,0.00005505664,0.0001181319,0.0030507],"genre_scores_gemma":[0.958891,0.00009297904,0.04066603,0.000007117208,0.000005684305,0.00004639865,0.00006993385,0.00002305569,0.0001977726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01091305,"threshold_uncertainty_score":0.0577144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419488352783848,"score_gpt":0.2317066271182845,"score_spread":0.217511743590446,"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."}}