{"id":"W4407133227","doi":"10.1016/j.jallcom.2025.179003","title":"Structural evolution and magnetic hardness of (Sm,Zr)(Fe,Co,Ti)12 alloy particles via reduction-diffusion","year":2025,"lang":"en","type":"article","venue":"Journal of Alloys and Compounds","topic":"Magnetic Properties of Alloys","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"Basic Energy Sciences; Office of Science; U.S. Department of Energy","keywords":"Alloy; Materials science; Diffusion; Metallurgy; Reduction (mathematics); Crystallography; Chemistry; Thermodynamics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001118469,0.0001374416,0.0001584362,0.0001386294,0.0001418838,0.0002966557,0.0001531207,0.0002004011,0.0005633198],"category_scores_gemma":[0.0001883923,0.0001937801,0.0001195381,0.00008994526,0.0001790261,0.0001086527,0.000106881,0.0002438331,0.0001857199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002550872,"about_ca_system_score_gemma":0.0001038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001039399,"about_ca_topic_score_gemma":0.002521588,"domain_scores_codex":[0.9999321,0.0000054907,0.000005305411,0.00001729509,0.0000250896,0.0000147036],"domain_scores_gemma":[0.9999195,0.00001714305,0.00003034351,0.00000883236,0.00001601122,0.000008100355],"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":[0.00003201099,0.000005691606,0.0002511907,0.00001677278,0.000002281668,0.00001739127,0.00002515334,0.0001075971,0.9987372,0.00003473806,0.00001287417,0.0007571253],"study_design_scores_gemma":[0.000006271727,0.00007240166,0.004736646,0.000002125129,0.000007154904,0.00004587559,0.00002404566,0.001145454,0.993411,0.00001051655,0.0005342167,0.000004277163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987318,0.0001715695,0.0004960591,0.00001498438,0.00000450653,0.000005301055,0.00003625482,0.00002458192,0.0005149113],"genre_scores_gemma":[0.9983273,0.0001004956,0.0009120846,0.000005820878,0.000001685089,0.000006655123,0.00004876039,0.00001339703,0.0005837887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001039399,"threshold_uncertainty_score":0.002066672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029727888949638,"score_gpt":0.2305543536467715,"score_spread":0.2202570747572751,"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."}}