{"id":"W4402509834","doi":"10.1016/j.actamat.2024.120399","title":"Tune Al/Ti to adjust FCC+L21 hetero-structured Ni-based high-entropy alloys for improved mechanical properties and wear resistance","year":2024,"lang":"en","type":"article","venue":"Acta Materialia","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Suncor Energy (Canada); Alberta Glycomics Centre; University of Alberta","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Mitacs; Compute Canada","keywords":"Materials science; High entropy alloys; Metallurgy; Wear resistance; Alloy; Microstructure","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006370807,0.000334431,0.0001583657,0.0001796275,0.0001384088,0.0002772956,0.000292,0.0002044831,0.00123532],"category_scores_gemma":[0.0001222626,0.0001923183,0.0001308647,0.0001397072,0.0001357483,0.0002387683,0.0002131575,0.0002318926,0.0004204373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003223256,"about_ca_system_score_gemma":0.0001850104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000789278,"about_ca_topic_score_gemma":0.003002887,"domain_scores_codex":[0.9999336,0.000003115881,0.000006284799,0.00002098971,0.00002211203,0.00001378649],"domain_scores_gemma":[0.999956,0.000003283889,0.00001645409,0.000004227803,0.00001187476,0.000008118476],"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":[0.00002662295,0.00001274787,0.0001686257,0.00002979721,0.000004249126,0.00001642957,0.00001032367,0.0001970726,0.9983441,0.00007581199,0.00004192393,0.001072239],"study_design_scores_gemma":[0.00001337279,0.0000825923,0.001302445,0.000003342788,0.00001197051,0.00002608362,0.00002179281,0.002826017,0.9939929,0.00002838956,0.001685139,0.00000596387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919899,0.0004562761,0.00415136,0.00004778238,0.00002851742,0.00003627283,0.0001588958,0.0001764366,0.002954628],"genre_scores_gemma":[0.9940636,0.0001619115,0.004477295,0.00003160306,0.000004697753,0.00003561581,0.00008759746,0.00004354386,0.001094107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00123532,"threshold_uncertainty_score":0.004132509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392535464420478,"score_gpt":0.2147763686134602,"score_spread":0.2008510139692554,"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."}}