Archived versions of paper-referenced snapshot and latest release of ComProScanner
Archived version of the ComProScanner software referenced in the Digital Discovery paper (v2026.02.02). This release includes: the snapshot of the ComProScanner package, which has been referenced in the Digital Discovery paper examples folder with: minimal and test (used script for evaluation) scripts to run ComProScanner 5 years of piezoelectric materials-related journal articles' metadata collected full-text articles where d33 were mentioned as CSV and vector-database entry data related to 100 randomly chosen DOIs from the 3917 d33-mentioned articles to benchmark ComProScanner across 10 different cost-efficient LLMs all model logs and outputs for 100 test articles across 10 LLMs data related to the comparison with similar existing frameworks (Eunomia and the extraction agent by CMEG-IITR) scripts to regenerate graphs, table information and other Materials Project (MP)-related data for the paper. Archived version of the latest release of the ComProScanner software (v0.1.5) The following link compares the changes between the archived version and the latest version: https://github.com/slimeslab/ComProScanner/compare/v2026.02.02...v0.1.5
Authors
- Chiara Gattinoni (ORCID: https://orcid.org/0000-0002-3376-6374)
- Enrico Grisan (ORCID: https://orcid.org/0000-0002-7365-5652)
- John Buckeridge (ORCID: https://orcid.org/0000-0002-2537-5082)
- Aritra Roy (ORCID: https://orcid.org/0000-0003-0243-9124)
Institutions
- King's College London (GB)
- University of Kent (GB)
- London South Bank University (GB)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-03-15
- DOI
- https://doi.org/10.5281/zenodo.19033754
- Primary Topic
- Handwritten Text Recognition Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00