Reproducibility: an open-source tool for computational hypothesis testing in natural language

Bruno Oliveira Costa Jimez

No 7enxu_v1, MetaArXiv from Center for Open Science

Abstract: We present Reproducibility, an open-source software system for quantitative evaluation of scientific hypotheses formulated in natural language. The system converts scientific statements written in Portuguese or English into executable mathematical functions, assesses their internal consistency through Monte Carlo simulation, and measures their predictive power against real empirical data from open sources (World Bank, NASA POWER, IBGE) or user-supplied CSV files. We propose a composite reproducibility score — combining simulated consistency and empirical fit — and validate it against five cases with expected behaviour established by the literature.

Date: 2026-03-31
New Economics Papers: this item is included in nep-cmp
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://osf.io/download/69c9d64aa3a18851ae73f715/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:osf:metaar:7enxu_v1

DOI: 10.31219/osf.io/7enxu_v1

Access Statistics for this paper

More papers in MetaArXiv from Center for Open Science
Bibliographic data for series maintained by OSF ().