Exploring the Potential of Large Language Models for Automated Safety Plan Scoring in Outpatient Mental Health Settings
- ID
3e9b75dcfbda4eea- Source org
- PubMed Central
- Author
- —
- Published
- —
- OA status
- —
- DOI
- 10.1101/2025.03.26.25324610
- PMID
- —
- PMCID
- PMC12747419
- Citations
- —
Tags
- crisis
- suicidality
Verification
- identity: ok via crossref · score 1 · checked_at unknown
- legitimacy: keep via unknown · score 0.95 · checked_at unknown
- link: ok via http-check · 2026-07-28T03:58:44.050956+00:00
Cite this entry
BibTeX
@article{allodium:3e9b75dcfbda4eea,
title = {Exploring the Potential of Large Language Models for Automated Safety Plan Scoring in Outpatient Mental Health Settings},
journal = {PubMed Central},
doi = {10.1101/2025.03.26.25324610},
url = {https://doi.org/10.1101/2025.03.26.25324610}
}RIS
TY - JOUR TI - Exploring the Potential of Large Language Models for Automated Safety Plan Scoring in Outpatient Mental Health Settings PB - PubMed Central DO - 10.1101/2025.03.26.25324610 UR - https://doi.org/10.1101/2025.03.26.25324610 ER -
APA
Exploring the Potential of Large Language Models for Automated Safety Plan Scoring in Outpatient Mental Health Settings. (n.d.). PubMed Central. https://doi.org/10.1101/2025.03.26.25324610
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