{"id":"W4285810959","doi":"10.1016/j.ijplas.2022.103387","title":"Enhanced tensile ductility of an additively manufactured near-α titanium alloy by microscale shear banding","year":2022,"lang":"en","type":"article","venue":"International Journal of Plasticity","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Materials science; Microscale chemistry; Ductility (Earth science); Titanium alloy; Ultimate tensile strength; Composite material; Nanoindentation; Titanium; Shear (geology); Metallurgy; 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":[0.0001271767,0.0002487738,0.0002318338,0.0002810187,0.0001741806,0.0003197976,0.0002401272,0.0002682221,0.001056561],"category_scores_gemma":[0.0001620001,0.0001988042,0.0002177266,0.0002096223,0.0001985203,0.0001681157,0.0001698985,0.000280494,0.000300549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001798232,"about_ca_system_score_gemma":0.0001496335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003682811,"about_ca_topic_score_gemma":0.001190549,"domain_scores_codex":[0.999886,0.000006168545,0.000007577829,0.00002261381,0.00005387558,0.00002360623],"domain_scores_gemma":[0.9998941,0.00001311504,0.00003711429,0.00001417923,0.00002696918,0.00001453289],"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":[0.00004338698,0.000009234644,0.0001096767,0.00001504664,0.000002854361,0.00002792539,0.00001631146,0.0003123032,0.9982439,0.00006074353,0.0000242051,0.001134305],"study_design_scores_gemma":[0.000005869206,0.0001792347,0.002311248,0.000002280019,0.00001123151,0.00003908364,0.00002051076,0.003446578,0.9933925,0.00002261291,0.0005610245,0.000007704404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962961,0.0002109776,0.002339483,0.00002566921,0.00003459854,0.000004540709,0.00004290728,0.00008862372,0.0009571959],"genre_scores_gemma":[0.9978715,0.00005461213,0.001043155,0.000007457054,0.000005685609,0.000003557624,0.00002675345,0.00001608038,0.0009711499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001056561,"threshold_uncertainty_score":0.003534496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006553999031133368,"score_gpt":0.2202013495826886,"score_spread":0.2136473505515552,"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."}}