{"id":"W4249008807","doi":"10.22215/etd/2006-06659","title":"Simulation on the welding process of low-alloy steel by finite element method","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library and Archives Canada","funders":"","keywords":"Finite element method; Process (computing); Welding; Engineering; Metallurgy; Mechanical engineering; Computer science; Structural engineering; Materials science; Operating system","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":[0.0003695541,0.0004634426,0.0007010728,0.0004919699,0.0005250005,0.0006159569,0.000997045,0.001406163,0.005407333],"category_scores_gemma":[0.001175016,0.0004031328,0.0006775764,0.0004914873,0.0004617471,0.0004580539,0.0004072249,0.0005096953,0.0004808517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005695923,"about_ca_system_score_gemma":0.001053525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01626784,"about_ca_topic_score_gemma":0.009457698,"domain_scores_codex":[0.9998623,0.0000431216,0.00000847913,0.00001635547,0.00004757974,0.00002213189],"domain_scores_gemma":[0.9994622,0.0003427721,0.00003777548,0.00003200345,0.00009344003,0.00003184398],"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":[0.00002796844,0.00002064824,0.0002905493,0.00002387295,0.00000770899,0.00002995295,0.00002522546,0.9957514,0.0009823162,0.000948222,0.0001158994,0.001776201],"study_design_scores_gemma":[0.000005968146,0.000007990001,0.00005906188,0.00000207161,0.000001571628,0.000003613692,0.000004102636,0.9993864,0.0002291773,0.0001384885,0.0001596223,0.000001866921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3969242,0.0005342181,0.5635757,0.0005272432,0.0001789003,0.0002190303,0.000800092,0.0018009,0.03543977],"genre_scores_gemma":[0.926482,0.0002858194,0.0624133,0.00005592382,0.00001568109,0.0001709134,0.0005468858,0.0001373954,0.009892044],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01626784,"threshold_uncertainty_score":0.03234631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122674049852594,"score_gpt":0.2944619182448429,"score_spread":0.2832351777463169,"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."}}