{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003966051,0.0001433518,0.0002932687,0.0000281748,0.00009593996,0.00003101981,0.00004881907,0.00008420567,0.001905309],"category_scores_gemma":[0.000004265001,0.00009756408,0.00008648324,0.00007983358,0.00006341633,0.00007024725,0.00001177424,0.00003970831,0.000001921701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002819114,"about_ca_system_score_gemma":0.00001786621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001394875,"about_ca_topic_score_gemma":0.00005781118,"domain_scores_codex":[0.9993262,0.00004601832,0.0002660795,0.0001444409,0.00008744482,0.0001297688],"domain_scores_gemma":[0.9997215,0.00001960744,0.00003372935,0.0001317753,0.00005677875,0.00003657018],"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":[0.00004799597,0.00004549091,0.000003088355,0.0003068022,0.00007106626,0.000004105329,0.00009383603,0.00265721,0.9966329,0.00002386523,0.000001986402,0.0001116008],"study_design_scores_gemma":[0.0004523104,0.00003508784,0.01152565,0.00005914337,0.000101933,0.00006978905,0.00005658483,0.00003440123,0.9864969,0.00009160554,0.0009736004,0.0001030156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971559,0.0004602776,0.001242463,0.00005797618,0.0004022332,0.0001237162,0.0004696888,0.00003903135,0.00004873523],"genre_scores_gemma":[0.9991651,0.0003041579,0.000188086,0.000005358538,0.00004238638,0.00001489214,0.00002231696,0.00001626678,0.0002413903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01152256,"threshold_uncertainty_score":0.9990071,"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."}}