Steps toward developing an algorithm to facilitate recognition of translational science
Paul J Martin, Brian E Saelens, Theodore Johnson, Mark Harniss, Tumaini R Coker, Erin Abu-Rish Blakeney, Nina Isoherranen, Tong Sun, Nisha Bansal, Stephanie J Lee, John Amory, Naomi Kaku, Melissa Vaught · 2026
Read Steps toward developing an algorithm to facilitate recognition of translational science by Paul J Martin, Brian E Saelens, Theodore Johnson, Mark Harniss, Tumaini R Coker, Erin Abu-Rish Blakeney, Nina Isoherranen, Tong Sun, Nisha Bansal, Stephanie J Lee, John Amory, Naomi Kaku, Melissa Vaught (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13312354.txt.
Description
Paul Martin and co-authors tested an algorithm in 2026 meant to help reviewers tell translational science from translational research. Funders increasingly ask which kind a project is, yet even expert staff may not share one understanding. A short decision tool was meant to fix that.
Faculty and staff groups rated published studies, first with little guidance and then with the detailed algorithm. Agreement stayed only fair in both rounds, and the algorithm did not raise it. Ratings for the science category agreed somewhat better than for the research category. The authors discuss why the distinction stays fuzzy and propose steps to sharpen shared recognition.
Catalog record
| CREATOR | Paul J Martin, Brian E Saelens, Theodore Johnson, Mark Harniss, Tumaini R Coker, Erin Abu-Rish Blakeney, Nina Isoherranen, Tong Sun, Nisha Bansal, Stephanie J Lee, John Amory, Naomi Kaku, Melissa Vaught |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 41 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |