{"id":"W2551521218","doi":"10.22260/isarc2016/0046","title":"Applying the Concept of Selective Assembly to Modular Construction to Mitigate Impacts of Component Variability","year":2016,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modular design; Rework; Component (thermodynamics); Computer science; Modular construction; Process (computing); Manufacturing engineering; Standardization; Systems engineering; Software engineering; Engineering; Embedded system; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007598831,0.0005298107,0.0003607164,0.0006333535,0.0004668161,0.0004888452,0.0008103919,0.0003704026,0.001112655],"category_scores_gemma":[0.00128121,0.0003089925,0.0005440973,0.0004303329,0.001120161,0.0007481214,0.001386744,0.0005543293,0.0002303081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002987042,"about_ca_system_score_gemma":0.000530041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004338318,"about_ca_topic_score_gemma":0.001006883,"domain_scores_codex":[0.9994352,0.0001205762,0.00002188991,0.00009154694,0.000266133,0.00006457251],"domain_scores_gemma":[0.9990501,0.0003387955,0.0002279404,0.0002323463,0.0001187405,0.00003205885],"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":[0.0001491099,0.0001013833,0.004196385,0.0002595684,0.0001026184,0.0005910945,0.0005337561,0.4805792,0.2244224,0.09193441,0.0009322242,0.1961978],"study_design_scores_gemma":[0.00003061757,0.0008448676,0.003871786,0.00004319124,0.000107067,0.001322835,0.0001516429,0.8051977,0.1276306,0.04009407,0.02065004,0.00005569414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03518083,0.0001050571,0.9614503,0.00005208325,0.00001380263,0.00002537698,0.000008091817,0.0001935264,0.002970837],"genre_scores_gemma":[0.6447054,0.0001843879,0.3533656,0.00006694367,0.00002912845,0.00007836875,0.00002853211,0.0001211537,0.001420635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001112655,"threshold_uncertainty_score":0.004018724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006301771382016061,"score_gpt":0.2007875296548036,"score_spread":0.1944857582727875,"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."}}