{"id":"W2111279990","doi":"10.4028/www.scientific.net/amm.155-156.363","title":"Robust Optimization Design and Evaluation to Five Roller Coating Module without Solvent Based on Axiomatic Design","year":2012,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Axiomatic design; Axiom independence; Axiom; Mathematical optimization; Robustness (evolution); Product design; Optimal design; Premise; Variance (accounting); Product (mathematics); Computer science; Reliability engineering; Engineering; Mathematics; Manufacturing engineering; Machine learning","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":[0.001042973,0.0001636999,0.0001853125,0.0000838523,0.0001025234,0.00009898707,0.00004009194,0.00007884215,0.00007222843],"category_scores_gemma":[0.00002362351,0.0001534498,0.000007903041,0.00005796341,0.00000282823,0.0001101931,0.00002213048,0.00002946242,0.000004982779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004189247,"about_ca_system_score_gemma":0.0000102884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002557786,"about_ca_topic_score_gemma":1.659884e-7,"domain_scores_codex":[0.9991935,0.00004698109,0.0002035656,0.0001642609,0.0001688594,0.0002228254],"domain_scores_gemma":[0.9996561,0.00004756149,0.00005885564,0.0001117056,0.00003481803,0.000090971],"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":[0.00004213904,0.00001425164,2.149609e-7,0.0000909091,0.000009127658,5.753168e-8,0.0002399186,0.9870197,0.009529985,0.001681016,0.00002842836,0.001344235],"study_design_scores_gemma":[0.0004434941,0.00004309068,0.000008187719,0.00004308675,0.00004245884,5.828709e-7,0.00002981732,0.8811223,0.1173892,0.0007089622,0.000005693309,0.0001631229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01435936,0.00003215803,0.9841186,0.00001631339,0.0001887495,0.001111939,0.000003721531,0.00009596413,0.00007316395],"genre_scores_gemma":[0.6842546,0.0000223395,0.3153383,0.00006010197,0.00004151944,0.0002301962,0.00001924728,0.00002931163,0.00000429634],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6698953,"threshold_uncertainty_score":0.6257501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03513512750423311,"score_gpt":0.2276060945460903,"score_spread":0.1924709670418572,"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."}}