{"id":"W3203425668","doi":"10.1007/s11661-021-06455-7","title":"Evolution of the Microstructure of Laser Powder Bed Fusion Ti-6Al-4V During Post-Build Heat Treatment","year":2021,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Los Alamos National Laboratory; Lawrence Livermore National Laboratory; National Institute of Standards and Technology; Division of Materials Research; U.S. Department of Energy; U.S. Department of Commerce; National Science Foundation","keywords":"Materials science; Microstructure; Electron backscatter diffraction; Acicular; Dislocation; Residual stress; Texture (cosmology); Annealing (glass); Diffraction; Crystallography; Composite material; Metallurgy; Optics; Chemistry","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":[0.00009721556,0.0001084718,0.0001971085,0.0002541729,0.0003724299,0.0003284267,0.0002440775,0.0003304229,0.00359201],"category_scores_gemma":[0.000265901,0.0001790083,0.0001648962,0.0002922197,0.0002969956,0.0002191581,0.00009937924,0.0002611131,0.0002628225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005825895,"about_ca_system_score_gemma":0.0003252389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005795277,"about_ca_topic_score_gemma":0.01123908,"domain_scores_codex":[0.99989,0.000003986938,0.000003477794,0.0000217997,0.00004929641,0.0000314716],"domain_scores_gemma":[0.9998647,0.00002612275,0.00003141506,0.000009504189,0.00005145512,0.00001671102],"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":[0.0003366501,0.00002684276,0.002806867,0.00005757642,0.00001160264,0.0001712742,0.000136707,0.001109825,0.9922107,0.0001812969,0.0002484929,0.00270223],"study_design_scores_gemma":[0.00002300819,0.0003515586,0.150073,0.00001087068,0.00003291624,0.0002045968,0.0003684216,0.007299307,0.8393428,0.0001102029,0.002153519,0.00002990075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977872,0.0001845816,0.0003864412,0.00002272482,0.00001206608,0.000004641918,0.0002954493,0.00004559162,0.001261261],"genre_scores_gemma":[0.9989034,0.00004106541,0.0001930516,0.000006325255,0.000001654684,0.000003513541,0.000145089,0.000009305027,0.0006965217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005795277,"threshold_uncertainty_score":0.01201648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004625934539549353,"score_gpt":0.1833519954627044,"score_spread":0.1787260609231551,"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."}}