@misc{indiciae95b1056dec5c,
  title = {Random forest models accurately classify synthetic opioids using high-dimensionality mass spectrometry datasets},
  author = {Arasteh, Kourosh [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] and Magana-Zook, Steven [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] and Ponce, Colin V. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] and Leif, Roald [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] and Vu, Alex [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] and Dreyer, Mark [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] and Mayer, Brian P. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] and Williams, Audrey M. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] and Fisher, Carolyn L. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000268481424)},
  year = {2026},
  doi = {10.1039/d5ay01677k},
  url = {https://www.osti.gov/biblio/3017706},
  note = {Source identifier: 3017706}
}