{"id":"W2102536795","doi":"10.1007/s10845-007-0008-x","title":"Flexible platform component design under uncertainty","year":2007,"lang":"en","type":"article","venue":"Journal of Intelligent Manufacturing","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Component (thermodynamics); Flexibility (engineering); Process (computing); Engineering; Product design; Product (mathematics); Engineering design process; Profitability index; Reliability engineering; Production (economics); Computer science; Manufacturing engineering; Industrial engineering; Systems engineering; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001722332,0.0001893078,0.0002402123,0.0005644568,0.000154348,0.0001944022,0.0003061459,0.00006583698,0.0003192367],"category_scores_gemma":[0.00005868568,0.0001509969,0.0001210274,0.0001869327,0.00002743425,0.001069448,0.0000899537,0.000244582,0.0001635644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001858436,"about_ca_system_score_gemma":0.00003580334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002544242,"about_ca_topic_score_gemma":0.00000862978,"domain_scores_codex":[0.9983352,0.000006072907,0.0007170985,0.0001484068,0.0004554043,0.000337813],"domain_scores_gemma":[0.9989077,0.00007288792,0.0006459926,0.0001297629,0.0002131678,0.00003050624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003003391,0.0007920956,0.004549502,0.0004929828,0.0007617845,0.0003456376,0.001002284,0.616679,0.01154053,0.01937046,0.02519231,0.3162701],"study_design_scores_gemma":[0.001467639,0.00006477795,0.01719443,0.0003764724,0.0001783121,0.0001263313,0.002015551,0.002675208,0.7854684,0.02389569,0.1656313,0.000905874],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5009297,0.0001604972,0.4925503,0.0004911281,0.00151311,0.00019574,1.422742e-7,0.00006611151,0.004093274],"genre_scores_gemma":[0.9951705,0.00003972838,0.002048884,0.0008772587,0.001495601,7.950581e-7,0.000005028981,0.00002381927,0.0003383815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7739279,"threshold_uncertainty_score":0.6157475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04458296392801538,"score_gpt":0.2496324889617134,"score_spread":0.205049525033698,"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."}}