{"id":"W2675857479","doi":"10.1299/jsmedsd.2009.19.163","title":"1309 Optimization of Press Molding Die by Fluid and Structure Coupled Analysis","year":2009,"lang":"en","type":"article","venue":"Sekkei Kougaku, Shisutemu Bumon Kouenkai kouen rombunshuu/Sekkei Kogaku, Shisutemu Bumon Koenkai koen ronbunshu","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Die (integrated circuit); Materials science; Tube (container); Heat transfer; Molding (decorative); Stress (linguistics); Thermal analysis; Maximum temperature; Heat transfer coefficient; Composite material; Mechanics; Thermodynamics; Thermal; 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":[0.0004359889,0.0008878257,0.0007175,0.0007438826,0.0003379825,0.0006286564,0.0005089122,0.00046502,0.002103627],"category_scores_gemma":[0.0006231379,0.0007015009,0.0008256938,0.0002954426,0.000371816,0.0004058151,0.0003671243,0.0003705312,0.0004180287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006397929,"about_ca_system_score_gemma":0.0009331316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002242315,"about_ca_topic_score_gemma":0.003292391,"domain_scores_codex":[0.999649,0.0000445154,0.00001017787,0.00006027375,0.000185183,0.00005081312],"domain_scores_gemma":[0.9997365,0.00008891448,0.00004501946,0.00002536255,0.00008963561,0.0000145093],"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":[0.0001584555,0.0001639074,0.001546707,0.0001465456,0.00006665671,0.0001012205,0.0000804291,0.7970966,0.153802,0.001610146,0.0005039772,0.04472335],"study_design_scores_gemma":[0.00002572806,0.0001967999,0.0007922943,0.000004393065,0.00002888386,0.00001769531,0.00001476464,0.9595745,0.03814746,0.0002437263,0.0009388832,0.00001481796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5625269,0.0003219901,0.4218246,0.0001038261,0.00005529148,0.0001925215,0.0001159903,0.001264603,0.01359426],"genre_scores_gemma":[0.9058052,0.000068555,0.09116572,0.00001900758,0.000005670305,0.00012545,0.00008237387,0.0001405625,0.002587373],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002242315,"threshold_uncertainty_score":0.007037342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005908319971106026,"score_gpt":0.2150336256769338,"score_spread":0.2091253057058278,"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."}}