{"id":"W2069830537","doi":"10.4271/2014-01-0729","title":"Design for Six Sigma (DFSS) for Optimization of Automotive Heat Exchanger and Underhood Air Temperature","year":2014,"lang":"en","type":"article","venue":"SAE International Journal of Materials and Manufacturing","topic":"Engineering Applied Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Chrysler (Canada)","funders":"","keywords":"Heat exchanger; Automotive industry; Design for Six Sigma; Sigma; Six Sigma; Mechanical engineering; Automotive engineering; Engineering; Environmental science; Manufacturing engineering; Nuclear engineering; Aerospace engineering; Physics","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":[0.002510131,0.001029106,0.0008090013,0.001077904,0.0004483415,0.0007966885,0.0005112106,0.0005494517,0.003033798],"category_scores_gemma":[0.001777694,0.000421975,0.001284459,0.0008117363,0.0004228732,0.0004134686,0.0004645164,0.0007608007,0.0004318692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007212104,"about_ca_system_score_gemma":0.001387567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0011837,"about_ca_topic_score_gemma":0.001570265,"domain_scores_codex":[0.9979656,0.0006544551,0.0001339024,0.000161882,0.0009946983,0.00008943229],"domain_scores_gemma":[0.9989091,0.0004111536,0.0001948564,0.00006706613,0.0003958632,0.00002206542],"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":[0.0004326059,0.0003335038,0.001966382,0.001612334,0.0001564145,0.0001107254,0.0005321976,0.5127336,0.08712616,0.01945961,0.001240276,0.3742962],"study_design_scores_gemma":[0.000218861,0.005412433,0.003919135,0.0002726295,0.0001769668,0.000178271,0.0002491902,0.8825598,0.07370234,0.009699531,0.0235148,0.00009597532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03138068,0.0003261366,0.9630694,0.00005692777,0.00004675214,0.000413851,0.00006630797,0.0003105204,0.00432943],"genre_scores_gemma":[0.3620858,0.0003980926,0.6320614,0.00006886342,0.00001679551,0.001183274,0.0002296141,0.00006957848,0.00388672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003033798,"threshold_uncertainty_score":0.01327497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202405900967511,"score_gpt":0.2416966812464074,"score_spread":0.2296726222367323,"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."}}