{"id":"W4414077579","doi":"10.1016/j.msea.2025.149096","title":"Additively-manufactured high-entropy Cantor alloy: Multiscale microstructures and deformation mechanisms","year":2025,"lang":"en","type":"article","venue":"Materials Science and Engineering A","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Science and Technology Major Project; Ministry of Education of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Microstructure; Electron backscatter diffraction; Stacking; Dislocation; Deformation mechanism; Deformation (meteorology); Crystal twinning; Ultimate tensile strength; Slip (aerodynamics)","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":[0.00008912732,0.0001603092,0.00008223858,0.0001993228,0.000200393,0.0003139135,0.0001960772,0.0002244986,0.0005393606],"category_scores_gemma":[0.0001062053,0.0001125042,0.00007951627,0.0001158862,0.0003041588,0.0002635444,0.0001342185,0.0001489671,0.00008665585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005175718,"about_ca_system_score_gemma":0.000262814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001899936,"about_ca_topic_score_gemma":0.007386484,"domain_scores_codex":[0.9999201,0.000004233049,0.000003725428,0.00001414034,0.00004349131,0.0000142835],"domain_scores_gemma":[0.9999449,0.000006680251,0.00001878738,0.000009134932,0.00001304139,0.000007427893],"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":[0.00003011805,0.000008926872,0.001514616,0.00003695195,0.000003640497,0.0001132117,0.00004552272,0.001550748,0.9918655,0.0007973074,0.00006719436,0.003966176],"study_design_scores_gemma":[0.000008681463,0.0001223295,0.01881296,0.000006725176,0.00000922815,0.000312379,0.00005955111,0.01773389,0.9601422,0.0002854906,0.002491659,0.00001482698],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929074,0.0003658452,0.004116695,0.00005564645,0.0000084307,0.00001218101,0.00006049537,0.00008215664,0.002391223],"genre_scores_gemma":[0.9977214,0.00007320041,0.001518,0.000006853932,0.000001524732,0.000004015451,0.00003992599,0.000004283015,0.0006307476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001899936,"threshold_uncertainty_score":0.003777802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002344954085672111,"score_gpt":0.1762046973872635,"score_spread":0.1738597433015914,"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."}}