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

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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
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article

Archived versions of paper-referenced snapshot and latest release of ComProScanner

Chiara Gattinoni, Enrico Grisan, John Buckeridge, Aritra Roy
Zenodo (CERN European Organization for Nuclear Research)
Handwritten Text Recognition Techniques
article

Archived versions of paper-referenced snapshot and latest release of ComProScanner

Chiara Gattinoni, Enrico Grisan, John Buckeridge, Aritra Roy
article en

Abstract

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

Zenodo (CERN European Organization for Nuclear Research)
King's College London (GB), University of Kent (GB), London South Bank University (GB)
Openalex Percentile: Top 21%
Handwritten Text Recognition Techniques
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