{"id":"W1588692935","doi":"10.1063/1.2740927","title":"Some Considerations In Modeling Axisymmetric Deep Drawing And Redrawing Process And LDR Prediction","year":2007,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Deep drawing; Clamping; Stiffness; Displacement (psychology); Anisotropy; Rotational symmetry; Work (physics); Computer science; Die (integrated circuit); Structural engineering; Mechanical engineering; Engineering; Geometry; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005306916,0.0001665453,0.0001874514,0.0005493633,0.0001208436,0.0001681549,0.000054155,0.0001256733,0.000005535558],"category_scores_gemma":[0.00022985,0.000184757,0.00001463589,0.0003614481,0.00004084475,0.001167443,0.00003093003,0.0002416692,0.000001044728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005944889,"about_ca_system_score_gemma":0.00001829461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001533971,"about_ca_topic_score_gemma":0.00001027689,"domain_scores_codex":[0.9989152,0.000002971062,0.0003874647,0.0002511346,0.000168009,0.0002752342],"domain_scores_gemma":[0.9995907,0.00006486395,0.00004349595,0.00005295813,0.0001587004,0.00008928553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006233285,0.0001276205,0.481143,0.002793509,0.0001345312,0.00002863301,0.04974611,0.007150921,0.1710846,0.212312,0.00007402786,0.07534278],"study_design_scores_gemma":[0.0002474166,0.00003290511,0.003770272,0.0001562564,0.00001315988,0.00002654188,0.0007676652,0.9309995,0.00617119,0.057595,0.00001086116,0.0002092681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9447215,0.0006921714,0.05250405,0.00004236967,0.00006271661,0.000273668,0.000001292764,0.0005047347,0.001197534],"genre_scores_gemma":[0.9956782,0.0001691583,0.003993275,0.0000348699,0.00006366174,0.00002447714,0.000002507981,0.00002572445,0.000008063414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9238485,"threshold_uncertainty_score":0.7534173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02260018688539513,"score_gpt":0.2608961597142906,"score_spread":0.2382959728288954,"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."}}