{"id":"W1978238216","doi":"10.1016/j.msea.2012.11.039","title":"Lap shear strength and fatigue behavior of friction stir spot welded dissimilar magnesium-to-aluminum joints with adhesive","year":2012,"lang":"en","type":"article","venue":"Materials Science and Engineering A","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":119,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Welding; Adhesive; Composite material; Fatigue limit; Metallurgy; Spot welding; Lap joint; Alloy; Fracture mechanics; Shear (geology); Shear strength (soil); Durability; Friction stir welding; Intermetallic; Layer (electronics)","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":[0.0001986269,0.0002453739,0.0002637936,0.0003151186,0.0001835413,0.0001820508,0.0004007702,0.0003795488,0.001101951],"category_scores_gemma":[0.0007505085,0.0002281849,0.0002549401,0.000240533,0.0002715838,0.0002394358,0.0001572712,0.0001994608,0.0001949029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002832448,"about_ca_system_score_gemma":0.0001871023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002181265,"about_ca_topic_score_gemma":0.003433847,"domain_scores_codex":[0.999786,0.00002184457,0.00001374237,0.00003753661,0.0001019422,0.00003902598],"domain_scores_gemma":[0.9995214,0.0001063072,0.0001303778,0.00004129077,0.0001506646,0.00005009647],"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":[0.0007018588,0.00002972828,0.002571568,0.00004865578,0.00002226439,0.0001803279,0.0001292237,0.001593521,0.9923586,0.00006764432,0.00005269617,0.002243845],"study_design_scores_gemma":[0.00003155044,0.001932673,0.05172421,0.00001062408,0.00007901867,0.000278423,0.0001792442,0.01657849,0.9285777,0.00004453218,0.0005365824,0.00002703686],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993675,0.0001078735,0.0003075257,0.000005071543,0.000003320719,0.000001689645,0.00002233069,0.00001001559,0.0001746848],"genre_scores_gemma":[0.9994829,0.00002579227,0.0001509888,0.00000287333,0.000001443396,0.000001393681,0.0000242035,0.000002564621,0.00030784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002181265,"threshold_uncertainty_score":0.004337192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179634175059023,"score_gpt":0.2307932786422929,"score_spread":0.2189969368917027,"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."}}