Research replicability assessment
US12118311B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 17, 2021 |
| Grant date | Oct 15, 2024 |
| Priority date | — |
| Expiry date | Jun 17, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A machine learning approach for evaluating the replicability of research receives a scholarly paper or publication about a research effort, and applies learning models and natural language processing (NLP) to identify replicability of the asserted results. Rule based and machine learning approaches employ models based on preexisting research papers having defined replicability, and compares language features, research parameters and factual assertions extracted from a research paper for evaluation. A pipeline of evaluations and feature extraction analyzes the content of the research paper and renders a prediction value that the described research can be repeated with similar results.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.