{"id":"W1982427191","doi":"10.3139/217.1692","title":"Design Sensitivity Analysis Applied to Injection Molding for Optimization of Gate Location and Injection Pressure","year":2002,"lang":"en","type":"article","venue":"International Polymer Processing","topic":"Injection Molding Process and Properties","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Sensitivity (control systems); Sequential quadratic programming; Finite element method; Optimal design; Mathematical optimization; Robustness (evolution); Materials science; Quadratic programming; Control theory (sociology); Computer science; Mathematics; Engineering; Structural engineering; Electronic 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":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002202242,0.0001355107,0.0001637325,0.0004591337,0.0001305898,0.0001017947,0.00005503969,0.00007935119,0.00003260783],"category_scores_gemma":[0.00003847433,0.000143452,0.00003595858,0.0005790285,0.00002230725,0.0003467293,0.00001662702,0.00007128025,0.000001257992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005007978,"about_ca_system_score_gemma":0.000009488453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003933031,"about_ca_topic_score_gemma":0.000007415835,"domain_scores_codex":[0.9991888,0.00002066951,0.0002621118,0.0002164798,0.0001801701,0.0001317893],"domain_scores_gemma":[0.99948,0.00004221246,0.000099909,0.00006977175,0.0002699689,0.00003814755],"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":[0.00004698267,0.00001606227,0.0001208739,0.0001450066,0.0001848276,1.041214e-7,0.001086048,0.9727653,0.004530738,0.00005671165,0.00003423866,0.02101311],"study_design_scores_gemma":[0.0001715457,0.00004658237,0.0001448935,0.00005330365,0.000158174,0.000009569309,0.0001104139,0.9656378,0.0334403,0.00003827788,0.0000374867,0.0001516184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01305814,0.0006805724,0.9851685,0.00006821845,0.0002258232,0.000215133,0.000007260582,0.0001474868,0.0004288518],"genre_scores_gemma":[0.9934329,0.0000223339,0.006066529,0.00004192589,0.0001199973,0.00006678757,0.00001424881,0.00002683306,0.0002084196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9803748,"threshold_uncertainty_score":0.5849804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984747924862899,"score_gpt":0.228029224807365,"score_spread":0.208181745558736,"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."}}