{"id":"W3004377998","doi":"10.1016/j.jallcom.2020.154045","title":"The role of tool offset on the microstructure and mechanical properties of Al/Cu friction stir welded joints","year":2020,"lang":"en","type":"article","venue":"Journal of Alloys and Compounds","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":95,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions; China Scholarship Council; Nanjing University of Aeronautics and Astronautics","keywords":"Materials science; Microstructure; Welding; Ultimate tensile strength; Friction stir welding; Composite material; Alloy; Offset (computer science); Butt joint; Aluminium; Metallurgy; Tensile testing; Transverse plane; Structural 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":[0.0001441864,0.0001352061,0.000160032,0.0002304338,0.0001786569,0.0003332025,0.0002369832,0.0002214992,0.001310455],"category_scores_gemma":[0.0005326348,0.0001590462,0.00009029787,0.0001822044,0.0002599538,0.000220853,0.0001293831,0.000121704,0.0001386061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002364767,"about_ca_system_score_gemma":0.0002087328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001804017,"about_ca_topic_score_gemma":0.003066962,"domain_scores_codex":[0.9999036,0.000008137591,0.000005146813,0.00002044784,0.0000358191,0.00002683796],"domain_scores_gemma":[0.9996743,0.00009086308,0.00008090606,0.00002271789,0.0001033411,0.0000278364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009371458,0.00004169653,0.007769757,0.00007393188,0.00001609278,0.0002628452,0.0001017903,0.003403421,0.979601,0.0002085556,0.00009770742,0.007486071],"study_design_scores_gemma":[0.00003566236,0.0007585877,0.1537762,0.00001178248,0.00007192854,0.0002884873,0.000322666,0.02514338,0.8186024,0.0001282988,0.0008278159,0.00003279902],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991149,0.0001484905,0.0003024166,0.000006196185,0.000003622723,0.000001331485,0.00002528525,0.00001313164,0.0003847356],"genre_scores_gemma":[0.9997578,0.00001985318,0.00005119745,0.000001363748,7.911231e-7,4.344068e-7,0.00001045735,0.000002489829,0.0001555564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001804017,"threshold_uncertainty_score":0.004383922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045385079599192,"score_gpt":0.1990543457838466,"score_spread":0.1886004949878547,"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."}}