{"id":"W2033332256","doi":"10.1115/pvp2012-78071","title":"Numerical Simulation of Mecano-Welding Process for Cylinder Manufacturing","year":2012,"lang":"en","type":"article","venue":"","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Bent molecular geometry; Welding; Bending; Residual stress; Process (computing); Structural engineering; Materials science; Cylinder; Mechanical engineering; Gas metal arc welding; Planar; Arc welding; Engineering; Composite material; Computer science","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":[0.00009349609,0.00006171641,0.00009597905,0.00002973553,0.00002255033,0.000004762501,0.00003555195,0.00004071258,0.0001821245],"category_scores_gemma":[0.00001291966,0.00005309023,0.00002912524,0.00002247575,0.000003643416,0.0002113573,0.000004907285,0.00002441082,0.00000670343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001038891,"about_ca_system_score_gemma":0.000002222239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002167498,"about_ca_topic_score_gemma":2.393524e-7,"domain_scores_codex":[0.999606,0.000002774074,0.0001352403,0.0000427534,0.00005402565,0.000159264],"domain_scores_gemma":[0.9998454,0.0000372066,0.00001752245,0.0000515997,0.00001158139,0.00003672645],"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":[0.00001220051,0.00001089675,0.00008263863,0.0003235264,0.00002271388,4.581774e-8,0.0002853136,0.9874821,0.007844191,0.0006581336,0.000007453756,0.003270743],"study_design_scores_gemma":[0.0001246308,0.000007598474,0.0002019606,0.00001115689,0.00001042419,6.602941e-7,0.00003682492,0.1961779,0.8015745,0.0002564906,0.00150907,0.0000888164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6972099,0.0000224603,0.2984225,0.000002751794,0.0003779518,0.0001068724,7.439437e-7,0.0000925374,0.003764263],"genre_scores_gemma":[0.9984552,9.728271e-7,0.001320811,0.000007004145,0.0001247647,0.00001100007,0.000003427567,0.00001473698,0.00006202675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7937303,"threshold_uncertainty_score":0.2164957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03016904626385241,"score_gpt":0.2861315024619769,"score_spread":0.2559624561981245,"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."}}