{"id":"W2166779075","doi":"10.1177/1063293x02010002638","title":"HOME: House Of Modular Enhancement—a Tool for Modular Product Redesign","year":2002,"lang":"en","type":"article","venue":"Concurrent Engineering","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modular design; Modular programming; Systems engineering; Product engineering; Manufacturing engineering; Product design specification; Product (mathematics); Mass customization; Product design; Engineering; Product lifecycle; Control reconfiguration; Computer science; Software; Personalization; Software engineering; New product development; Embedded system; Business","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002491698,0.0002041913,0.0002365974,0.0002187887,0.00006481002,0.00007781673,0.0002039193,0.00003908045,0.00009828501],"category_scores_gemma":[0.0001994793,0.0002135584,0.00007505417,0.0003657517,0.00001596434,0.0006872503,0.00006243561,0.00006978198,0.00005621456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003520472,"about_ca_system_score_gemma":0.000007400425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001841354,"about_ca_topic_score_gemma":1.34289e-7,"domain_scores_codex":[0.9988169,0.000002928126,0.0003460895,0.0003214336,0.0002081329,0.0003045188],"domain_scores_gemma":[0.9994068,0.00001587487,0.0001492949,0.0002478128,0.0001690404,0.0000111623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000916718,0.001094032,0.00651188,0.008658463,0.0006162233,0.00001201025,0.0009255859,0.1111985,0.4384919,0.05690372,0.04885666,0.3266394],"study_design_scores_gemma":[0.00231195,0.00002981135,0.002112106,0.0003286747,0.0001581377,0.0000015035,0.00002774094,0.7343721,0.04566462,0.0002994436,0.2135842,0.001109722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5837426,0.003523305,0.4047028,0.0004580254,0.003976491,0.00213811,0.000006803169,0.0008605673,0.0005913001],"genre_scores_gemma":[0.9970149,0.00005700631,0.001515372,0.00004483805,0.0008564027,0.0001175607,0.00003367703,0.00005766665,0.0003025212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6231737,"threshold_uncertainty_score":0.870866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843222105221744,"score_gpt":0.189373432209444,"score_spread":0.1709412111572265,"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."}}