{"id":"W2161678298","doi":"10.24908/pceea.v0i0.3669","title":"USING COST ANALYSIS AS A TOOL FOR COMBINING DESIGN FOR ASSEMBLY AND DESIGN FOR DISASSEMBLY AT THE EARLY STAGE OF SUSTAINABLE PRODUCT DEVELOPMENT PROCESS","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product lifecycle; Profitability index; Manufacturing engineering; Sustainability; New product development; Product life-cycle management; Product design; Profit (economics); Systems engineering; Process (computing); Product (mathematics); Engineering design process; Computer science; Process management; Engineering; Business; Marketing; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009937006,0.000180154,0.0002430174,0.0002912364,0.0003378944,0.00009811646,0.0002140325,0.00009771007,0.000004114911],"category_scores_gemma":[0.0009665431,0.000160164,0.00008280541,0.0004672321,0.00001436621,0.0002755578,0.0000172036,0.00006679622,1.264581e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011165,"about_ca_system_score_gemma":0.0005429372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008351411,"about_ca_topic_score_gemma":0.0003889158,"domain_scores_codex":[0.998878,0.000005943426,0.0003578567,0.0002099196,0.0001761117,0.0003721928],"domain_scores_gemma":[0.998324,0.0001613927,0.0003494271,0.00009075109,0.0009846068,0.00008978569],"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":[0.00008877389,0.00007930954,0.01289733,0.00448622,0.001175474,3.781836e-8,0.01561535,0.9556432,0.002868345,0.004814943,0.001352107,0.0009789011],"study_design_scores_gemma":[0.001124907,0.0001357348,0.02828634,0.000251394,0.001230782,0.00000182704,0.002681197,0.5089995,0.4499696,0.0007033965,0.00569311,0.0009222809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7169904,0.0001454837,0.2768919,0.0001762949,0.0003150851,0.005206453,0.00004696512,0.00008499341,0.0001424926],"genre_scores_gemma":[0.9574274,0.000005084113,0.03988158,0.00001862233,0.00003710356,0.00110437,0.00001398464,0.00005305318,0.001458794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4471012,"threshold_uncertainty_score":0.6531299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02722512717610958,"score_gpt":0.2395838612121363,"score_spread":0.2123587340360267,"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."}}