{"id":"W2199392228","doi":"10.1115/1.4031549","title":"A Methodology for Modular and Changeable Design Architecture and Application in Automotive Framing Systems","year":2015,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Canada Research Chairs","keywords":"Modular design; Automotive industry; Framing (construction); Architecture; Modular programming; Computer science; Systems engineering; Engineering; Manufacturing engineering","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":[0.001770339,0.00008810667,0.0002397868,0.0001256034,0.0000192683,0.00002796043,0.00006139113,0.0001140069,4.824872e-7],"category_scores_gemma":[0.0002402343,0.00007350517,0.00001647711,0.00006633647,0.000008633616,0.00008505934,0.00001119528,0.0001470871,1.47897e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004053812,"about_ca_system_score_gemma":0.00001873062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005659789,"about_ca_topic_score_gemma":0.000001019772,"domain_scores_codex":[0.9992998,0.0001520716,0.0002388857,0.00009307369,0.00009248525,0.0001237005],"domain_scores_gemma":[0.9993319,0.0003456124,0.00009074071,0.00005042518,0.0000899903,0.00009133536],"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":[0.00008133654,0.000008882518,0.000001797751,0.000106823,0.00001878329,0.000002972787,0.0003525042,0.9868063,0.002116475,0.0003957825,0.00003847764,0.01006982],"study_design_scores_gemma":[0.0006286253,0.0002621684,0.00001563445,0.00005866726,0.00002338605,0.00007058276,0.00009215085,0.9765591,0.007722906,0.01433261,0.0001535083,0.00008067731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002471772,0.001555599,0.9954382,0.00006122293,0.0001130213,0.0003346652,8.067513e-7,0.00001979983,0.000004885274],"genre_scores_gemma":[0.4967485,0.0001164096,0.5029819,0.0000190958,0.00008031648,0.00003088506,4.759593e-7,0.00001680314,0.000005596149],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4942767,"threshold_uncertainty_score":0.2997454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08221926508516407,"score_gpt":0.2749236660190735,"score_spread":0.1927044009339094,"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."}}