{"id":"W4280561232","doi":"10.1016/j.ijfatigue.2022.107017","title":"Microstructure and low-cycle fatigue performance of selective electron beam melted Ti6Al4V alloy","year":2022,"lang":"en","type":"article","venue":"International Journal of Fatigue","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China; Natural Science Foundation of Shandong Province; China Scholarship Council; Ryerson University","keywords":"Misorientation; Materials science; Titanium alloy; Microstructure; Ultimate tensile strength; Cathode ray; Alloy; Beam (structure); Composite material; Hysteresis; Process window; Deformation (meteorology); Texture (cosmology); Metallurgy; Electron; Structural engineering; Optoelectronics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001137678,0.00009355488,0.0001494873,0.0002386748,0.0002217221,0.0001960869,0.0002899637,0.0002919403,0.001121141],"category_scores_gemma":[0.0002267405,0.0001353626,0.0001332575,0.0001609037,0.0001895776,0.0002005704,0.00008441995,0.000119625,0.0001378722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003892469,"about_ca_system_score_gemma":0.0001716581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003633947,"about_ca_topic_score_gemma":0.005912302,"domain_scores_codex":[0.999922,0.000005271537,0.000004000763,0.00001707151,0.00003366749,0.00001792431],"domain_scores_gemma":[0.999867,0.0000179615,0.00002914294,0.00001115268,0.00006326881,0.00001136449],"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":[0.0003391932,0.00002256933,0.00218529,0.00003326201,0.000007091582,0.0001082849,0.00004583491,0.0007965463,0.9946895,0.00007976242,0.00008477509,0.001607897],"study_design_scores_gemma":[0.00002736738,0.001045832,0.1234321,0.000009290933,0.00003602881,0.0002702473,0.0001495384,0.01276378,0.8610221,0.0000680697,0.001158526,0.00001708498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993357,0.0001168323,0.000137804,0.00000732256,0.000003553631,0.000001752295,0.00006174303,0.00001122461,0.0003240031],"genre_scores_gemma":[0.9991748,0.00003451952,0.0001251079,0.000003258602,0.000001703398,0.000001852486,0.00007948084,0.000004143083,0.0005750952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003633947,"threshold_uncertainty_score":0.007225573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007621197751357676,"score_gpt":0.2324287182410129,"score_spread":0.2248075204896552,"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."}}