{"id":"W2021359870","doi":"10.1051/jp4:20020709","title":"Electromagnetic forming of aluminium alloy sheet","year":2003,"lang":"fr","type":"article","venue":"Journal de Physique IV (Proceedings)","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electromagnetic forming; Formability; Materials science; Finite element method; Deformation (meteorology); Electromagnetic coil; Aluminium; Forming processes; Coupling (piping); Mechanics; Transient (computer programming); Computer simulation; Composite material; Structural engineering; Physics; Computer science; Engineering","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":[0.0003039875,0.0002485979,0.0002527941,0.0002821309,0.0002821911,0.0002486944,0.00040971,0.0002854839,0.001450368],"category_scores_gemma":[0.0004521868,0.000181618,0.0003163425,0.000189544,0.0002843978,0.0002332988,0.0002937955,0.0001383777,0.0002721559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000339516,"about_ca_system_score_gemma":0.0003054747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006428527,"about_ca_topic_score_gemma":0.0007094598,"domain_scores_codex":[0.999808,0.00002790757,0.000009212246,0.00002198998,0.0001181689,0.00001478657],"domain_scores_gemma":[0.9998531,0.00003286993,0.0000286024,0.00004645537,0.00003047082,0.000008396028],"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":[0.0001128437,0.00007801544,0.002095873,0.0001879543,0.00002179507,0.0005154185,0.0002107569,0.5358207,0.3892136,0.01580556,0.0008064316,0.05513092],"study_design_scores_gemma":[0.00003517231,0.0004262945,0.003233973,0.00001946576,0.00001855966,0.0005974685,0.00004697679,0.7730525,0.2077377,0.002710869,0.01209193,0.00002905952],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4406086,0.0002579646,0.527636,0.00008366891,0.0001011938,0.0001773763,0.0001613748,0.0009270447,0.03004684],"genre_scores_gemma":[0.9177746,0.0001144284,0.07745898,0.00001880824,0.000008387326,0.00004286608,0.00008222014,0.00002820243,0.004471515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001450368,"threshold_uncertainty_score":0.004851937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036059516524881,"score_gpt":0.24150437476476,"score_spread":0.2311437795995112,"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."}}