{"id":"W2002588769","doi":"10.4028/www.scientific.net/msf.638-642.1215","title":"Prediction and Measurements of Thermal Residual Stresses in AA2024-T3 Friction Stir Welds as a Function of Welding Parameters","year":2010,"lang":"en","type":"article","venue":"Materials science forum","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Materials science; Residual stress; Welding; Friction stir welding; Composite material; Ultimate tensile strength; Rotational speed; Aluminium; Metallurgy; Neutron diffraction; Diffraction; Optics; Mechanical 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":[0.0003255758,0.0004982491,0.0002929896,0.0004109269,0.0002748265,0.0002862992,0.0003719793,0.0005535299,0.0005358756],"category_scores_gemma":[0.0008545545,0.0002986009,0.0003075181,0.0004623166,0.0003032075,0.0002342015,0.0001186367,0.0001965987,0.0002566805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004194875,"about_ca_system_score_gemma":0.0002806176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0065934,"about_ca_topic_score_gemma":0.004886834,"domain_scores_codex":[0.9997701,0.00001835038,0.00001299332,0.00004567094,0.0001293616,0.00002359026],"domain_scores_gemma":[0.9995961,0.0001076435,0.00007859142,0.00004355719,0.0001484177,0.00002562207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007932908,0.00008829385,0.01386401,0.00007202095,0.00001405276,0.0001376568,0.0002228187,0.03380853,0.9416517,0.00008389947,0.0001475673,0.009116205],"study_design_scores_gemma":[0.00002760112,0.0007714307,0.072211,0.000009370126,0.00002600245,0.0001393961,0.0001421563,0.1566774,0.7693692,0.00008225326,0.00049221,0.00005194059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996594,0.00003811119,0.002781125,0.000007291496,0.000002144127,0.000005878454,0.0001021503,0.000105558,0.0003637983],"genre_scores_gemma":[0.9988979,0.00002100209,0.0008157992,0.00000135273,5.643244e-7,0.000005821156,0.0000958747,0.000008679115,0.0001528915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0065934,"threshold_uncertainty_score":0.01311004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799720787530273,"score_gpt":0.2424400656093159,"score_spread":0.2244428577340132,"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."}}