{"id":"W4412487907","doi":"10.1021/acsnano.5c06666","title":"Element-Specific Local Chemical Order of High-Entropy Nanoalloys","year":2025,"lang":"en","type":"article","venue":"ACS Nano","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Entropy (arrow of time); Alloy; Catalysis; Materials science; High entropy alloys; Decomposition; Nanotechnology; Biological system; Chemical physics; Computer science; Chemistry; Thermodynamics; Physics; Metallurgy","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":[0.0001076644,0.0001253168,0.0001192862,0.0002096671,0.000163975,0.0002914301,0.0002537632,0.0001676735,0.0009058655],"category_scores_gemma":[0.0002409423,0.000149569,0.0001000469,0.0001149606,0.000289628,0.0002994864,0.0001527351,0.000174152,0.00008165298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002857807,"about_ca_system_score_gemma":0.0001863879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009216106,"about_ca_topic_score_gemma":0.002452197,"domain_scores_codex":[0.9999492,0.000004774062,0.000002947279,0.00001214595,0.0000226495,0.000008213218],"domain_scores_gemma":[0.9999441,0.00001674323,0.00001530946,0.000007775322,0.00001071202,0.000005396009],"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":[0.0001254208,0.00004304362,0.006553477,0.0001830908,0.00002779184,0.0001424519,0.0001119363,0.02541431,0.954747,0.007374813,0.0001774326,0.005099248],"study_design_scores_gemma":[0.00002375733,0.0002284843,0.02079875,0.00001597799,0.0000304027,0.0001597157,0.0002194858,0.3097029,0.6622581,0.003929668,0.002605113,0.0000276887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898226,0.0001369343,0.007960975,0.00003015116,0.000005910576,0.00001006071,0.00008447689,0.00008385026,0.00186503],"genre_scores_gemma":[0.9978169,0.00004654816,0.001833178,0.000005870235,0.000001173004,0.000005996654,0.00007749084,0.00001254202,0.0002002144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009216106,"threshold_uncertainty_score":0.003030419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004781173505952611,"score_gpt":0.2017398824802535,"score_spread":0.1969587089743009,"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."}}