{"id":"W2018471419","doi":"10.1115/1.1839212","title":"The Effect of Tool–Sheet Interaction on Damage Evolution in Electromagnetic Forming of Aluminum Alloy Sheet","year":2005,"lang":"en","type":"article","venue":"Journal of Engineering Materials and Technology","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Ford Motor Company","keywords":"Conical surface; Electromagnetic forming; Materials science; Forming limit diagram; Parametric statistics; Aluminium; Alloy; Die (integrated circuit); Limit (mathematics); Computer simulation; Composite material; Metallurgy; Structural engineering; Sheet metal; Mechanics; Engineering; Physics; Nanotechnology","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":[0.0002649268,0.0002486358,0.0003578127,0.0003102763,0.0003989112,0.0003485273,0.0002356136,0.000494047,0.001012381],"category_scores_gemma":[0.001213008,0.0002185388,0.0001821308,0.0002410392,0.0004114688,0.0002893506,0.0003056134,0.000285241,0.0001124609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002535757,"about_ca_system_score_gemma":0.00009222138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005477286,"about_ca_topic_score_gemma":0.000687101,"domain_scores_codex":[0.999728,0.00005040042,0.00001354178,0.00004257356,0.0001013492,0.00006410118],"domain_scores_gemma":[0.9985673,0.0009382617,0.0001993877,0.00009070666,0.0001227638,0.00008156101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001198494,0.0001315715,0.00782038,0.0001359095,0.0000488339,0.0009102794,0.0004300858,0.05050118,0.9223413,0.0001935561,0.0001156013,0.0161728],"study_design_scores_gemma":[0.00003220544,0.002199627,0.07058654,0.0000165744,0.00007591704,0.0009634342,0.000255348,0.1095688,0.8153167,0.000153717,0.0007763695,0.00005483536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977748,0.0001349238,0.001345103,0.00000935908,0.000002883439,0.000005163954,0.00001318811,0.00002862822,0.0006859119],"genre_scores_gemma":[0.9995504,0.00002082369,0.0002992521,0.00000370812,0.000001054243,0.00000113311,0.000007802264,0.000004408998,0.0001114089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001012381,"threshold_uncertainty_score":0.003386736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002891019795027516,"score_gpt":0.2107317271900002,"score_spread":0.2078407073949727,"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."}}