Identify disclosure of generative-AI use from a PMC XML file.

Detects whether an article discloses the use (or non-use) of generative AI or AI-assisted tools in preparing the manuscript, as required of articles since 2023. The indicator is only evaluated for articles published in 2023 or later; for earlier articles `is_ai_pred` is `NA`.

Usage

rt_ai_pmc(filename, remove_ns = FALSE)

Arguments

filename: The filename of the PMC XML file to analyze.
remove_ns: TRUE if an XML namespace exists, else FALSE (default).

Value

A tibble with the article IDs, the publication `year`, whether an AI disclosure was found (`is_ai_pred`, `NA` before 2023), the matched statement (`ai_text`) and `is_success`.

Examples

# \donttest{
filepath <- system.file(
  "extdata", "PMID32171256-PMC7071725.xml", package = "rtransparency"
)
rt_ai_pmc(filepath, remove_ns = TRUE)
#> # A tibble: 1 × 9
#>   pmid    pmcid_pmc pmcid_uid doi   filename  year is_ai_pred ai_text is_success
#>   <chr>   <chr>     <chr>     <chr> <chr>    <int> <lgl>      <chr>   <lgl>     
#> 1 321712… ""        ""        10.1… /home/r…  2020 NA         ""      TRUE      
# }