Elsevier’s Check Integrity screens article submissions for potential breaches of publishing ethics policies — unauthorised authorship changes, editorial conflicts of interest and similar — flagging concerns to specialist integrity analysts before publication. Expanded across nearly 2,000 Elsevier journals…
CopyrightCatcher, from Patronus AI, detects when large language models reproduce copyrighted content verbatim — aimed at organisations that need to manage infringement risk in AI outputs.
CopyrightCatcher – AI Copyright Detection API Read More »
DataSeer applies NLP to open science compliance: automated checks of manuscripts against transparency and reproducibility standards, open science metrics across large corpora, and real-time triage.
Mike Caulfield’s Deep Background is a structured “superprompt” (the SIFT Toolbox) that steers LLMs into systematic claim-by-claim analysis for fact-checking. Worked examples include investigations into Azar Gat, asbestos snow in The Wizard of Oz, Eisenhower and Lumumba, and…
Deep Background: A “Superprompt” to change the way you use LLMs Read More »
Sage adopted Dimensions Author Check, Digital Science’s tool that reviews a researcher’s publication history and networks for integrity red flags such as paper-mill involvement, replacing much of the manual author-verification slog.
Dimensions Author Check Read More »
DocuMark reframes AI detection for universities: students verify and disclose their own AI usage rather than being policed by unreliable detectors, giving educators clearer insight into authorship. Integrates with learning management systems.
Ethicality is MDPI’s submission-screening tool, in testing as of late 2024, for identifying AI-generated publications, self-citation and unrelated references.
The American Association for Cancer Research analysed 7,177 manuscripts submitted to its 10 journals and found 36% of abstracts contained at least some AI-generated text. Evidence suggested four times as many authors use AI as disclose it —…
GenAI screening across AACR journals Read More »
Geppetto is Springer Nature’s detector for AI-generated and paper-mill content. It segments manuscript text and evaluates consistency to spot inauthentic patterns.
Imagetwin detects image integrity problems in research papers — duplication, manipulation, plagiarism and AI-generated figures in microscopy images, western blots and histology slides — by comparing against a database of over 75 million published figures.
