{"id":"W2073205395","doi":"10.4028/www.scientific.net/amr.123-125.575","title":"Optimal Design of the Aluminum Electrical Railcar under Uncertainty of Material Property","year":2010,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Aluminium; Reliability (semiconductor); Property (philosophy); Optimal design; Structural engineering; Yield (engineering); Finite element method; Stress (linguistics); Mechanical engineering; Materials science; Engineering; Computer science; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00103047,0.0007976077,0.0009742438,0.0005485461,0.0002457823,0.0007264141,0.0004674158,0.0008455362,0.001223412],"category_scores_gemma":[0.001646486,0.0006450121,0.000621439,0.0003162499,0.0006911212,0.0007376131,0.0006170468,0.0003824842,0.0001506882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006247149,"about_ca_system_score_gemma":0.001277573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002186771,"about_ca_topic_score_gemma":0.001491902,"domain_scores_codex":[0.9994568,0.0001607644,0.00001749169,0.0001170455,0.0001519127,0.00009594436],"domain_scores_gemma":[0.9993744,0.0003042421,0.0001372025,0.00003413527,0.0001223681,0.00002761784],"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":[0.00004228445,0.00000971682,0.0002301468,0.00003870412,0.00001363912,0.00004067259,0.00001217372,0.9906896,0.003075457,0.001912637,0.00008524068,0.003849693],"study_design_scores_gemma":[0.00001451639,0.0001019505,0.0003369377,0.000005025484,0.00001591194,0.00001817387,0.00001503101,0.9959437,0.001422019,0.00178521,0.0003334926,0.000008008888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1719728,0.0005830149,0.8193927,0.0002614019,0.00003661874,0.00006950024,0.00008796107,0.0002202583,0.007375744],"genre_scores_gemma":[0.9689118,0.0001838068,0.02952061,0.00002639149,0.00001129243,0.00006366591,0.00005818659,0.00002851835,0.001195744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002186771,"threshold_uncertainty_score":0.005449712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1398888071681192,"score_gpt":0.3980556901135546,"score_spread":0.2581668829454353,"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."}}