{"id":"W2082970697","doi":"10.1179/026708301101509674","title":"Characterisation of microstructure and texture in friction stir welded joints of 5754 and 5182 aluminium alloy sheets","year":2001,"lang":"en","type":"article","venue":"Materials Science and Technology","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Division of Electrical, Communications and Cyber Systems","keywords":"Materials science; Welding; Microstructure; Metallurgy; Texture (cosmology); Composite material; Formability; Heat-affected zone; Indentation hardness; Electron backscatter diffraction; Grain boundary; Aluminium; Alloy; Friction stir welding","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":[0.0001048889,0.0001340635,0.0001829426,0.0004589166,0.0001704282,0.000220109,0.0001222976,0.0002294905,0.0009530495],"category_scores_gemma":[0.0002243045,0.0002034351,0.000159119,0.0001825719,0.0001790034,0.00008795416,0.00009049216,0.0001377236,0.000190902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000149035,"about_ca_system_score_gemma":0.00008495009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001719627,"about_ca_topic_score_gemma":0.002643246,"domain_scores_codex":[0.9999052,0.000005467155,0.00000588993,0.00001747219,0.0000489119,0.00001709134],"domain_scores_gemma":[0.9998341,0.00002624821,0.00004127352,0.0000179346,0.00005490746,0.00002556863],"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":[0.00004634231,0.000003550537,0.001112739,0.00001460814,0.000002698354,0.00007568929,0.00004719021,0.00008638567,0.9977697,0.00001227635,0.000006831841,0.0008219918],"study_design_scores_gemma":[0.00001186983,0.0004130141,0.2754353,0.000008026223,0.00004422796,0.0006612292,0.0002373061,0.001258777,0.7206764,0.00003732015,0.001201442,0.00001507698],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998764,0.0001414982,0.0005301562,0.000003580591,0.00000210531,0.000004538965,0.00004868254,0.00001209139,0.0004932635],"genre_scores_gemma":[0.9979221,0.00006067029,0.0006877628,0.0000057829,0.000001636897,0.000006211126,0.0001082218,0.000009117452,0.001198513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001719627,"threshold_uncertainty_score":0.00341928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005186970141383123,"score_gpt":0.2169594375791261,"score_spread":0.211772467437743,"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."}}