{"id":"W7056970211","doi":"","title":"A hybrid approach for prediction of sheet formation in twin sheet extrusion blow molding process","year":2015,"lang":"en","type":"article","venue":"NPARC","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Extrusion; Die swell; Incremental sheet forming; Die (integrated circuit); Blow molding; Forming processes; Process (computing); Computer simulation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003909518,0.0006415442,0.0006336536,0.0006795598,0.0003851417,0.0008965381,0.0007009382,0.001526147,0.00126024],"category_scores_gemma":[0.0009050657,0.0004669052,0.0006371084,0.0003739753,0.0003949011,0.0004778122,0.0004718782,0.0005053913,0.0002072272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005541742,"about_ca_system_score_gemma":0.0007129751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007363696,"about_ca_topic_score_gemma":0.003894232,"domain_scores_codex":[0.9998677,0.00003029654,0.000007471623,0.00002690332,0.00004703298,0.00002050436],"domain_scores_gemma":[0.9995254,0.000288466,0.00005085201,0.00001979287,0.00009008935,0.00002533421],"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":[0.00002953857,0.00002010962,0.0004220608,0.00001996756,0.000008031158,0.00003628524,0.0000125017,0.9936306,0.002042136,0.0003457072,0.00004531661,0.003387761],"study_design_scores_gemma":[0.000001268387,0.000006059394,0.00005093995,8.891578e-7,6.811639e-7,0.000002222839,0.000001589136,0.9996606,0.0001988089,0.00005096829,0.00002475581,0.000001206749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3187197,0.0004849409,0.6714128,0.0001628195,0.0000537291,0.0001261562,0.0002697892,0.0009300601,0.007840044],"genre_scores_gemma":[0.9443503,0.0001825641,0.05263744,0.00003229911,0.00001953846,0.0001554854,0.0001793741,0.00007157177,0.00237133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007363696,"threshold_uncertainty_score":0.0146417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03101709130759787,"score_gpt":0.2364712177873519,"score_spread":0.2054541264797541,"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."}}