{"id":"W4409204682","doi":"10.1016/j.jma.2025.03.005","title":"Fatigue and deformation mechanisms of ultrasonic spot-welded dissimilar joints of a magnesium alloy to a clad aluminum alloy","year":2025,"lang":"en","type":"article","venue":"Journal of Magnesium and Alloys","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Toronto Metropolitan University; University of Toronto","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Osaka University; Osmania University; King Saud University; National Natural Science Foundation of China; Toronto Metropolitan University","keywords":"Materials science; Alloy; Metallurgy; Aluminium; Magnesium alloy; Deformation (meteorology); Welding; Magnesium; Ultrasonic sensor; Spot welding; Composite material; Acoustics","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":[0.000134653,0.000228885,0.000186399,0.0002749242,0.0001541751,0.0001203317,0.0003926956,0.0003205766,0.001227155],"category_scores_gemma":[0.0001995652,0.0002105662,0.000265337,0.0001242347,0.0002520163,0.0001230724,0.0001879013,0.0001129886,0.0001790024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002819988,"about_ca_system_score_gemma":0.0001156804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002136173,"about_ca_topic_score_gemma":0.002896702,"domain_scores_codex":[0.999921,0.000005905379,0.000005237716,0.00001481171,0.00003649988,0.00001662219],"domain_scores_gemma":[0.999874,0.00001739151,0.00004217222,0.0000176953,0.00003296875,0.00001567849],"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":[0.00008148359,0.000007924545,0.000860445,0.00002184345,0.00000546527,0.00008187697,0.0000456881,0.0006627017,0.996929,0.0000388737,0.00001082062,0.001253867],"study_design_scores_gemma":[0.00001618381,0.0007294372,0.0401496,0.000006789991,0.00002910737,0.0002922342,0.00007650092,0.01630726,0.9416337,0.00005154257,0.0006964401,0.00001126918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985886,0.00009881629,0.000994903,0.000004156046,0.000002179901,0.000004820767,0.00001182374,0.00002287476,0.0002717563],"genre_scores_gemma":[0.9990257,0.00002330889,0.0003584203,0.000002208139,5.898479e-7,0.000002295099,0.00001777734,0.000003736902,0.0005659558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002136173,"threshold_uncertainty_score":0.004247487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008572015460762552,"score_gpt":0.2380523405017208,"score_spread":0.2294803250409583,"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."}}