{"id":"W1846727367","doi":"10.1155/2015/283843","title":"Finite Element Simulation of the Compaction and Springback of Alumix 321 PM Alloy","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Mathematics","topic":"Powder Metallurgy Techniques and Materials","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Compaction; Finite element method; Powder metallurgy; Alloy; Materials science; Aluminium; Work (physics); Constitutive equation; Metallurgy; Structural engineering; Composite material; Mechanical engineering; Sintering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004418133,0.00006888201,0.0002354699,0.00004457463,0.00000830843,0.000008156788,0.000081273,0.00003714315,0.00001058847],"category_scores_gemma":[0.00002570542,0.00004735974,0.00004103432,0.00004714009,0.00002008214,0.00004428179,0.00002557385,0.00005996522,6.426811e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002386146,"about_ca_system_score_gemma":0.00001236421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.12687e-7,"about_ca_topic_score_gemma":3.975871e-7,"domain_scores_codex":[0.9992392,0.000005683561,0.0004761096,0.00002686659,0.0001910366,0.00006111878],"domain_scores_gemma":[0.9993678,0.00005292793,0.0003619187,0.0001097687,0.00007284754,0.00003473683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003103759,0.0001069853,0.0000276729,0.0006902329,0.0001316589,6.261324e-7,0.001797322,0.7874334,0.203159,0.005326716,0.0003695711,0.0009257812],"study_design_scores_gemma":[0.00119814,0.0001630202,0.0003388409,0.000374654,0.0002197436,0.0000200595,0.0007077459,0.3556863,0.6042227,0.03295628,0.003913335,0.0001991425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8806559,0.00004686627,0.1166683,0.00001821255,0.0001732046,0.0001771549,0.000003071691,0.00001994781,0.002237305],"genre_scores_gemma":[0.9692718,0.00003718099,0.03063632,0.000004945303,0.0000314514,9.643628e-7,2.4541e-7,0.00001110929,0.000005979673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.431747,"threshold_uncertainty_score":0.1931274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03136383775401463,"score_gpt":0.2560929727836124,"score_spread":0.2247291350295977,"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."}}