Package: arete
Title: Automated REtrieval from TExt
Version: 0.1
Date: 2025-09-29
Author: Vasco V. Branco [cre, aut] (ORCID:
    <https://orcid.org/0000-0001-7797-3183>),
  Vaughn Shirey [ctb] (ORCID: <https://orcid.org/0000-0002-3589-9699>),
  Thomas Merrien [ctb] (ORCID: <https://orcid.org/0000-0002-0339-5656>),
  Pedro Cardoso [aut] (ORCID: <https://orcid.org/0000-0001-8119-9960>)
Authors@R: c(
      person("Vasco V.", "Branco", role = c("cre","aut"),  
			email = "vasco.branco@helsinki.fi", 
			comment = c(ORCID = "0000-0001-7797-3183")),
			person("Vaughn", "Shirey", role = c("ctb"),  
			email = "vms55@georgetown.edu", 
			comment = c(ORCID = "0000-0002-3589-9699")),
			person("Thomas", "Merrien", role = c("ctb"),  
			email = "thomas.merrien@helsinki.fi", 
			comment = c(ORCID = "0000-0002-0339-5656")),
			person("Pedro", "Cardoso", role = c("aut"),  
			email = "pedro.cardoso@helsinki.fi", 
			comment = c(ORCID = "0000-0001-8119-9960"))
			)
Maintainer: Vasco V. Branco <vasco.branco@helsinki.fi>
Description: A Python based pipeline for extraction of species occurrence data through the usage of large language models. Includes validation tools designed to handle model hallucinations for a scientific, rigorous use of LLM. Currently supports usage of GPT with more planned, including local and non-proprietary models. For more details on the methodology used please consult the references listed under each function, such as Kent, A. et al. (1995) <doi:10.1002/asi.5090060209>, van Rijsbergen, C.J. (1979, ISBN:978-0408709293, Levenshtein, V.I. (1966) <https://nymity.ch/sybilhunting/pdf/Levenshtein1966a.pdf> and Klaus Krippendorff (2011) <https://repository.upenn.edu/handle/20.500.14332/2089>.
Depends: R (>= 4.3.0)
Imports: terra, cld2, stringr, reticulate, pdftools, fedmatch,
        kableExtra, dplyr, gecko, methods, ggplot2, jsonlite,
        googledrive, irr, rmarkdown
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-10-14 13:54:02 UTC; sauron
Repository: CRAN
Config/Needs/website: rmarkdown
Suggests: knitr
VignetteBuilder: knitr
Date/Publication: 2025-10-20 09:20:07 UTC
Built: R 4.4.3; ; 2025-11-01 06:07:15 UTC; windows
