{"id":"W2045487897","doi":"10.1016/j.matchar.2015.01.008","title":"Friction stir welding joint of dissimilar materials between AZ31B magnesium and 6061 aluminum alloys: Microstructure studies and mechanical characterizations","year":2015,"lang":"en","type":"article","venue":"Materials Characterization","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":200,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of Alberta","funders":"","keywords":"Materials science; Intermetallic; Microstructure; Friction stir welding; Welding; Ultimate tensile strength; Ductility (Earth science); Scanning electron microscope; Indentation hardness; Metallurgy; Composite material; Tensile testing; Alloy; Creep","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":[0.000219332,0.0001867078,0.0003019227,0.0005111305,0.0003108173,0.0002746494,0.0003613378,0.0003983108,0.001150848],"category_scores_gemma":[0.0003676348,0.0001945961,0.0002370103,0.0004232831,0.0002498135,0.0002383167,0.0001808592,0.0001308485,0.000270335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003338582,"about_ca_system_score_gemma":0.0002340287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001673873,"about_ca_topic_score_gemma":0.002789444,"domain_scores_codex":[0.9997512,0.0000176335,0.00001365222,0.0000475102,0.0001388726,0.00003118589],"domain_scores_gemma":[0.9998569,0.00002240961,0.00003688004,0.00001403425,0.0000563591,0.00001334634],"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":[0.0002558859,0.0000149957,0.001022785,0.00006467712,0.000006279362,0.0001184381,0.00007739789,0.0004448045,0.9955713,0.0001551405,0.00004859537,0.002219691],"study_design_scores_gemma":[0.00002265795,0.0005421349,0.03637702,0.000006836549,0.00003948611,0.0002860171,0.0002214775,0.002871858,0.9575049,0.00008012766,0.002035229,0.00001220584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973398,0.0004447623,0.001006221,0.0000107762,0.000007500083,0.000009967647,0.00006660716,0.00002094113,0.001093388],"genre_scores_gemma":[0.9983361,0.00006318797,0.0006326002,0.000004796401,0.000001812474,0.00000426495,0.00006394245,0.00000424488,0.0008889636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001673873,"threshold_uncertainty_score":0.003849983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03201489469956015,"score_gpt":0.2576703384486689,"score_spread":0.2256554437491088,"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."}}