{"id":"W2551840453","doi":"10.1139/tcsme-2015-0058","title":"DEFECT IMPROVEMENT OF EXTRUSION DIES USING COMBINATION OF FEM STRESS ANALYSIS WITH THE TAGUCHI METHOD","year":2015,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Die (integrated circuit); Taguchi methods; Extrusion; Finite element method; Core (optical fiber); Stress (linguistics); Tungsten carbide; Materials science; Service life; Structural engineering; Mechanical engineering; Composite material; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003668734,0.0001006133,0.0002246738,0.00006549663,0.00008093229,0.000006914885,0.0001534989,0.00006345397,0.000007886088],"category_scores_gemma":[0.0000124612,0.00006890448,0.0004158998,0.0003899868,0.00002375274,0.00006458512,0.000005476806,0.00009016266,3.260904e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001370803,"about_ca_system_score_gemma":0.00006089652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005228666,"about_ca_topic_score_gemma":0.009287721,"domain_scores_codex":[0.9994023,0.000009344633,0.0002122008,0.00007831347,0.0001472199,0.0001506224],"domain_scores_gemma":[0.9995297,0.00005980417,0.00005986457,0.000194807,0.00007987291,0.00007599067],"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":[0.000007581859,0.000008498226,0.000002290859,0.0001526233,0.0008360529,3.364004e-8,0.0003705746,0.9041874,0.09260643,0.001235977,0.000005856933,0.000586646],"study_design_scores_gemma":[0.0002853253,0.00006240889,0.00002294892,0.00004673164,0.0008973986,8.385643e-7,0.0003787593,0.7175885,0.2804151,0.0000920622,0.0001174601,0.00009244161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2397484,0.00005364112,0.7596633,0.00005812435,0.0001652795,0.0002131228,0.00007127889,0.00001785721,0.000009029229],"genre_scores_gemma":[0.9809431,0.000005292043,0.01899046,0.000008003728,0.000006169514,0.00001537796,0.00000409234,0.00001705249,0.00001045785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7411947,"threshold_uncertainty_score":0.7904214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01735080313380678,"score_gpt":0.2251713062868179,"score_spread":0.2078205031530111,"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."}}