article · Zenodo (CERN European Organization for Nuclear Research)
This online resource is a reproducibility archive for a manuscript on benchmarking machine learning models used in small experimental energy systems, specifically for biomass gasification prediction. It provides a comprehensive collection of data and computational artefacts to enable independent verification and reproduction of the study's findings. The archive includes six empirical analyser records, a 98-row performance scenario dataset for methodological benchmarking, and various computational components such as model specifications, cross-validation generators, and data lineage tools. It also contains all computational results, verification outputs, figures, and software environment files, ensuring transparency and auditability of the research.
This archive is crucial for ensuring the reliability and trustworthiness of machine learning applications in energy systems. By providing all necessary data and computational steps, it allows other researchers to independently verify results, audit methodologies, and build upon robust, transparent science, accelerating progress in biomass gasification and similar fields.
The abstract describes a reproducibility archive for research on machine learning models in energy systems, specifically biomass gasification. It does not indicate any direct application pathway, specific user, or readiness level for commercialisation. Its purpose is to support academic verification and auditing of research results.
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Executable Online Resource and reproducibility archive accompanying the manuscript “Interpretable Benchmarking of Machine Learning Models for Small Experimental Energy Systems: Balancing Accuracy, Complexity and Physical Meaning in Biomass Gasification Prediction.” The archive contains the six direct QRO-401 analyzer records retained as empirical provenance anchors and the 98-row workbook-derived performance scenario dataset used for methodological benchmarking. The 98 scenarios are derived analytical records and must not be interpreted as 98 independent physical gasifier experiments. The repository provides the fixed analysis seed (20260901), frozen model specifications, complete repeated cross-validation generator, automated data-lineage and target-proximity detector, leave-configuration-out transport tests, full fold- and repeat-level computational results, manuscript-result verification outputs, machine-readable Online Resource tables, supplementary information, manuscript-aligned figures, pinned software environment files, repository manifest, and SHA-256 checksums. Tier A and Tier B constitute the legitimate interpolation benchmarking feature sets. Tier C includes formula-proximal energy production and is retained strictly as a leakage and formula-recovery diagnostic rather than as a deployable prediction benchmark. The archive is intended to support independent inspection, computational reproduction, provenance auditing, and verification of the results reported in the associated manuscript.
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DOI: 10.5281/zenodo.22396886
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