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PreprintLicence not statedChemRxiv

Dataset-level reliability and quality control for metallurgical data structured with large language models

  • D. Wackerling1
  • A. Oñate1
  • D. Rojas1
  • J. P. Sanhueza1
  • Isaac Toda-Caraballo2
  • Diego Wackerling
  1. 1Department of Materials Engineering, University of Concepción, Edmundo Larenas 315, Concepción, Chile
  2. 2Physical Metallurgy Department, National Center for Metallurgical Research (CENIM-CSIC, Av. Gregorio del Amo 8, Madrid, Spain, 28040
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Cite

BibTeXRIS
BibTeX
@misc{wackerling2026datasetlevel,
  title = {{Dataset-level reliability and quality control for metallurgical data structured with large language models}},
  author = {D. Wackerling and A. Oñate and D. Rojas and J. P. Sanhueza and Isaac Toda-Caraballo and Diego Wackerling},
  howpublished = {ChemRxiv},
  year = {2026},
  month = nov,
  doi = {10.26434/chemrxiv.15011458/v1},
  url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15011458/v1},
}
RIS
TY  - UNPB
TI  - Dataset-level reliability and quality control for metallurgical data structured with large language models
AU  - D. Wackerling
AU  - A. Oñate
AU  - D. Rojas
AU  - J. P. Sanhueza
AU  - Isaac Toda-Caraballo
AU  - Diego Wackerling
PY  - 2026
DA  - 2026/11/01
PB  - ChemRxiv
DO  - 10.26434/chemrxiv.15011458/v1
UR  - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15011458/v1
ER  -