{"id":"W1996359038","doi":"10.1115/detc2010-28505","title":"Quantitative Assessment Framework for Product Value and Change Risk Analysis in Early Design Process","year":2010,"lang":"en","type":"article","venue":"","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Risk analysis (engineering); Product design; Computer science; Value engineering; Quality (philosophy); House of Quality; Decision support system; New product development; Product (mathematics); Customer satisfaction; Process (computing); Systems engineering; Process management; Engineering; Operations management; Customer retention; Service quality; Business; Data mining","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":[0.01027691,0.002073541,0.001023024,0.005824788,0.0007353812,0.00406421,0.00205929,0.001361782,0.003433103],"category_scores_gemma":[0.01672657,0.0006722349,0.001694047,0.002220122,0.001975872,0.003627551,0.001782093,0.001601045,0.0007678172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002244196,"about_ca_system_score_gemma":0.002711885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003418265,"about_ca_topic_score_gemma":0.001749395,"domain_scores_codex":[0.9921634,0.003319992,0.000561322,0.0004900371,0.00321054,0.0002546251],"domain_scores_gemma":[0.9896685,0.006062069,0.0009211189,0.0009697117,0.00221553,0.0001630735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009674441,0.0002314396,0.002272032,0.0005652427,0.0001916373,0.0001844376,0.0006865904,0.2912935,0.009103743,0.495296,0.001902466,0.1981761],"study_design_scores_gemma":[0.00002827087,0.0002865762,0.0008279137,0.000157539,0.00008197057,0.0001690991,0.0002160689,0.8128794,0.003916181,0.1703644,0.01098688,0.00008572609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009866884,0.00009492328,0.9975351,0.00004153152,0.000008065808,0.00005849945,0.00002581477,0.0001296961,0.001119641],"genre_scores_gemma":[0.1089188,0.0003077849,0.8882655,0.00005393626,0.00004848377,0.0006944111,0.0001595826,0.00007152949,0.001480031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01027691,"threshold_uncertainty_score":0.05435014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0399840232160554,"score_gpt":0.3072688906288957,"score_spread":0.2672848674128403,"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."}}