{"id":"W2051935509","doi":"10.4028/www.scientific.net/kem.549.444","title":"FEM Analysis of Mecano-Welding Process for Manufacturing Cylinders","year":2013,"lang":"en","type":"article","venue":"Key engineering materials","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Welding; Finite element method; Process (computing); Mechanical engineering; Bending; Structural engineering; Computer simulation; Engineering; Engineering drawing; Computer science; Simulation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001468386,0.0002418926,0.0002573325,0.000261915,0.0002598751,0.0002566396,0.0003089121,0.0005334914,0.002465389],"category_scores_gemma":[0.0003571279,0.0001663356,0.0004195605,0.0002422527,0.0002564298,0.0002500992,0.0001728596,0.0001667216,0.0003382495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003267842,"about_ca_system_score_gemma":0.0003760617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003672082,"about_ca_topic_score_gemma":0.002270537,"domain_scores_codex":[0.9998908,0.00001619719,0.000003681556,0.00001462131,0.00006119943,0.00001346845],"domain_scores_gemma":[0.9999125,0.00004018189,0.000008898345,0.000009048236,0.00002641587,0.000002806694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001123519,0.00002552268,0.001247228,0.0002097128,0.00001747516,0.0003248359,0.0002097957,0.8807591,0.06266259,0.0230231,0.001415854,0.02999255],"study_design_scores_gemma":[0.00000337009,0.00002682094,0.0008410939,0.00001355974,0.00000442897,0.00008245689,0.00002744133,0.9897169,0.005012905,0.001147755,0.003116671,0.000006655536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3536307,0.002769422,0.5437122,0.0004394219,0.0001471273,0.0001133648,0.0004347115,0.0008025125,0.09795061],"genre_scores_gemma":[0.9715676,0.0005583495,0.01765278,0.00003299859,0.00001333777,0.00004073554,0.000131692,0.00004187532,0.009960594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003672082,"threshold_uncertainty_score":0.008247554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0129620631223202,"score_gpt":0.24014303381538,"score_spread":0.2271809706930598,"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."}}