{"id":"W2770310111","doi":"10.1002/adem.201700463","title":"Microstructure and Texture Development in Al–3%Brass Composite Produced through ARB","year":2017,"lang":"en","type":"article","venue":"Advanced Engineering Materials","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; University of Saskatchewan","funders":"","keywords":"Electron backscatter diffraction; Accumulative roll bonding; Brass; Materials science; Microstructure; Texture (cosmology); Metallurgy; Composite number; Copper; Diffraction; Aluminium; Grain size; Grain boundary; Drop (telecommunication); Composite material; Optics","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":[0.000085322,0.0001558144,0.00009050606,0.0002267922,0.0001877799,0.0001823367,0.0001221418,0.0001425671,0.0007467545],"category_scores_gemma":[0.00008347088,0.000156807,0.0001382661,0.0001337507,0.0001301842,0.0000874321,0.00007461925,0.000162285,0.0002064912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001247975,"about_ca_system_score_gemma":0.0000954545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008614218,"about_ca_topic_score_gemma":0.002017196,"domain_scores_codex":[0.9999193,0.000007357084,0.000003047852,0.00001849234,0.00003622689,0.00001547637],"domain_scores_gemma":[0.9999273,0.000006956037,0.00002749661,0.000009946613,0.00001608167,0.00001215254],"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":[0.00004488528,0.000004169563,0.0003305982,0.00001698987,0.000001807951,0.00007342952,0.00002291489,0.0001212568,0.9985465,0.00002392962,0.00001117136,0.0008022994],"study_design_scores_gemma":[0.000004656843,0.0001895198,0.01482536,0.000002674378,0.00001026339,0.0001685852,0.00003832725,0.0005817547,0.9832985,0.00001452089,0.0008609296,0.000004797927],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976128,0.0002008974,0.001033119,0.000007160685,0.000004818385,0.000005792256,0.0000438505,0.00004483917,0.001046692],"genre_scores_gemma":[0.9972874,0.00009203436,0.001284094,0.000006682345,0.000001626458,0.000005757893,0.00005007468,0.00001214771,0.001260168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008614218,"threshold_uncertainty_score":0.00249815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009263899519276093,"score_gpt":0.2332066682249535,"score_spread":0.2239427687056774,"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."}}