{"id":"W3167572722","doi":"10.1016/j.surfin.2021.101248","title":"Effect of oxygen boost diffusion treatment on the mechanical properties of Ti-6Al-4V alloy","year":2021,"lang":"en","type":"article","venue":"Surfaces and Interfaces","topic":"Titanium Alloys Microstructure and Properties","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Materials science; Alloy; Ultimate tensile strength; Microstructure; Elongation; Brittleness; Tensile testing; Optical microscope; Diffusion; Phase (matter); Oxygen; Metallurgy; Layer (electronics); Substrate (aquarium); Composite material; Scanning electron microscope","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":[],"consensus_categories":[],"category_scores_codex":[0.0002780162,0.0001829138,0.0003461953,0.00001871977,0.00009709057,0.00005667075,0.0001634145,0.00006413076,0.0004188745],"category_scores_gemma":[0.00006771046,0.0000815669,0.00006562912,0.00005586305,0.0001891,0.00007969826,0.0001338135,0.00005692672,0.00001866279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000169115,"about_ca_system_score_gemma":0.00002955846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002455178,"about_ca_topic_score_gemma":0.00009207337,"domain_scores_codex":[0.9989049,0.0002413513,0.0002625455,0.0002509601,0.0001750813,0.0001651263],"domain_scores_gemma":[0.9993821,0.0001517133,0.0001102321,0.0002564672,0.00006647281,0.00003297535],"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":[0.000382344,0.00004303961,0.0001466458,0.000112965,0.00003142048,0.000001507308,0.000969789,0.00002545082,0.9970208,0.0001830551,0.00009147271,0.0009915308],"study_design_scores_gemma":[0.0002976847,0.001910387,0.0002301397,0.0001957491,0.00003723691,0.000006418527,0.0005043891,0.00006506169,0.9953032,0.00003585037,0.001317046,0.00009683278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936373,0.005090152,0.000001029828,0.0004126352,0.0002549252,0.0002026857,0.00003079848,0.00001777938,0.000352647],"genre_scores_gemma":[0.9985217,0.0005731602,0.00004515179,0.00004142988,0.00002080858,0.000008514075,0.00000171572,0.00001155379,0.0007759453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004884374,"threshold_uncertainty_score":0.4586382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658878867073988,"score_gpt":0.2299393847528464,"score_spread":0.2133505960821065,"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."}}