Reproducibility package for "A Natural-Language Interface for Parameter-Based Scenario Analysis in Parameterised Life Cycle Assessment Models"

This archive provides the supporting audit package for the manuscript "A Natural-Language Interface for Parameter-Level Scenario Analysis in Parameterised Life Cycle Assessment Models". This version updates the supporting material to align with the revised manuscript. It includes the redesigned case-study export structure, the run-level SQLite ledger, ledger CSV snapshots, clarified model-dependence diagnostics and updated documentation for the exported artefacts. The archive contains exported run folders used to support the case-study results reported in the manuscript. Each run folder includes a report PDF, README.md, manifest.json, checksums.sha256, input files, reduced base-model representations, prompt text, run context, LLM outputs, model diagnostics, generated scenario deltas, merged scenarios, OpenLCA result files, LCIA impact-score tables, run-status files and document-extraction provenance where applicable. Author observation notes are included for selected failures and exclusions to clarify why some runs were retained, excluded or classified as task-incorrect. The OpenLCA databases and third-party life-cycle inventory databases used in the case studies remain subject to their original licences and are not redistributed where redistribution is not permitted. The archive therefore supports reproduction of the workflow artefacts and reported outputs, but users may need access to the relevant licensed databases to fully rerun all OpenLCA calculations. Code repository: https://github.com/sadiqaikas/uilca

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-28
DOI
https://doi.org/10.5281/zenodo.21001482
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
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article

Reproducibility package for "A Natural-Language Interface for Parameter-Based Scenario Analysis in Parameterised Life Cycle Assessment Models"

M C L Fernando, Abubakar Sadiq
Zenodo (CERN European Organization for Nuclear Research)
Environmental Impact and Sustainability
article

Reproducibility package for "A Natural-Language Interface for Parameter-Based Scenario Analysis in Parameterised Life Cycle Assessment Models"

M C L Fernando, Abubakar Sadiq
article en

Abstract

This archive provides the supporting audit package for the manuscript "A Natural-Language Interface for Parameter-Level Scenario Analysis in Parameterised Life Cycle Assessment Models". This version updates the supporting material to align with the revised manuscript. It includes the redesigned case-study export structure, the run-level SQLite ledger, ledger CSV snapshots, clarified model-dependence diagnostics and updated documentation for the exported artefacts. The archive contains exported run folders used to support the case-study results reported in the manuscript. Each run folder includes a report PDF, README.md, manifest.json, checksums.sha256, input files, reduced base-model representations, prompt text, run context, LLM outputs, model diagnostics, generated scenario deltas, merged scenarios, OpenLCA result files, LCIA impact-score tables, run-status files and document-extraction provenance where applicable. Author observation notes are included for selected failures and exclusions to clarify why some runs were retained, excluded or classified as task-incorrect. The OpenLCA databases and third-party life-cycle inventory databases used in the case studies remain subject to their original licences and are not redistributed where redistribution is not permitted. The archive therefore supports reproduction of the workflow artefacts and reported outputs, but users may need access to the relevant licensed databases to fully rerun all OpenLCA calculations. Code repository: https://github.com/sadiqaikas/uilca

Zenodo (CERN European Organization for Nuclear Research)
Coventry University (GB)
Responsible consumption and production
Openalex Percentile: Top 11%
Environmental Impact and Sustainability
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