A small, simulated set of detector output, with one row per article, used to illustrate [rt_summary()], [rt_score()] and [rt_plot()]. The values are simulated, not real detector output: prevalences and their trends over time are chosen to resemble published findings (frequent conflict-of- interest and funding disclosure, less frequent protocol registration, low but rising data sharing, rare code sharing, and a recent, fast-rising disclosure of generative-AI use) so the illustrations are realistic.
Format
A tibble with 1200 rows and 11 columns:
- pmid
A made-up PubMed identifier (character).
- year
Publication year, 2010-2026.
- type
Article type (research-article, review-article, systematic-review).
- is_coi_pred
Conflict-of-interest statement detected.
- is_fund_pred
Funding statement detected.
- is_register_pred
Protocol registration detected.
- is_open_data
Data sharing detected.
- is_open_code
Code sharing detected.
- is_novelty_pred
Novelty claim detected.
- is_replication_pred
Replication component detected.
- is_ai_pred
Disclosure of generative-AI use detected. `NA` before 2023, when the practice did not yet exist (see [rt_ai_pmc()]).