CITATION.cff

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cff-version: 1.2.0
title: >-
  Ten simple rules to leverage large language models for
  getting grants
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - family-names: Seckel
    given-names: Elizabeth
    email: eseckel@stanford.edu
    affiliation: >-
      Division of Cardiovascular Medicine, Stanford
      University School of Medicine, Stanford, California,
      United States of America
    orcid: 'https://orcid.org/0000-0001-5910-649X'
  - family-names: Stephens
    given-names: Brandi Y.
    affiliation: >-
      Division of Cardiovascular Medicine, Stanford
      University School of Medicine, Stanford, California,
      United States of America 
  - family-names: Rodriguez
    given-names: Fatima
    affiliation: >-
      Division of Cardiovascular Medicine, Stanford
      University School of Medicine, Stanford, California,
      United States of America 
identifiers:
  - type: doi
    value: 10.1371/journal.pcbi.1011863
repository-code: 'https://github.com/eseckel/ai-for-grant-writing'
url: 'https://eseckel.github.io/ai-for-grant-writing/'
keywords:
  - Grants
  - Scientific Writing
  - Grant Proposals
  - LLMs
  - Generative AI
license: CC-BY-4.0