{"id":"W2108771232","doi":"10.1115/msec2011-50049","title":"Application of Topology Optimization in Product Design and Manufacturing","year":2011,"lang":"en","type":"article","venue":"","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hitachi (Canada)","funders":"","keywords":"Topology optimization; Conceptual design; Computer science; Topology (electrical circuits); Process (computing); Truck; Product design; Engineering design process; Mathematical optimization; Product (mathematics); Engineering; Mechanical engineering; Mathematics; Finite element method; Automotive 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001176671,0.001079462,0.0009026513,0.00123659,0.0004942392,0.001246301,0.0007507124,0.0008533864,0.002415272],"category_scores_gemma":[0.002674381,0.0005600989,0.0008987363,0.001294067,0.001050395,0.00138209,0.0009760192,0.0007388766,0.0007692958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006091099,"about_ca_system_score_gemma":0.0006619286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006427367,"about_ca_topic_score_gemma":0.0006042168,"domain_scores_codex":[0.9990047,0.0004319691,0.00004392961,0.000120633,0.0003593723,0.00003936101],"domain_scores_gemma":[0.9990522,0.0005787161,0.0001069618,0.0001163603,0.0001242788,0.0000214194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003164656,0.00003677103,0.0004604238,0.0003755695,0.00005209124,0.0001419484,0.0000626758,0.7396038,0.01033746,0.09201116,0.0008168667,0.1560696],"study_design_scores_gemma":[0.00001883912,0.0002104818,0.0003888481,0.00009139926,0.0000396363,0.0003194791,0.00003978369,0.8558871,0.01136691,0.1026664,0.0289359,0.00003522875],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003381528,0.001235251,0.9873373,0.0001496777,0.00005038094,0.00004045039,0.00001732754,0.00009720066,0.007690973],"genre_scores_gemma":[0.302382,0.007697864,0.6837642,0.0001472389,0.0001786155,0.0002545878,0.0001282408,0.0002514237,0.005195845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002415272,"threshold_uncertainty_score":0.008079886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193616066672626,"score_gpt":0.1968839880898075,"score_spread":0.1849478274230812,"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."}}