Evaluation design and reporting in machine-learning state-of-health estimation on the NASA lithium-ion battery dataset — a systematic meta-research review of open-access studies

Pre-registered protocol (v1.2, 14 October 2026) and supporting materials for a systematic meta-research review of evaluation design and metric reporting in machine-learning state-of-health estimation studies using the NASA PCoE lithium-ion battery dataset. Includes the protocol, the dedicated search export (OpenAlex, 14 October 2026), the screening log for 3,157 records, the pre-registered random processing order of 398 candidates and the 25% verification sample, the blank extraction form and codebook, and the screening code. Deposited before full-text data extraction. A parallel OSF registration was submitted on the same day; its archiving failed because of an OSF-side file-copy error and is being resolved.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-14
DOI
https://doi.org/10.5281/zenodo.23359171
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
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article

Evaluation design and reporting in machine-learning state-of-health estimation on the NASA lithium-ion battery dataset — a systematic meta-research review of open-access studies

Jeng Batacandolo
Zenodo (CERN European Organization for Nuclear Research)
Advanced Battery Technologies Research
article

Evaluation design and reporting in machine-learning state-of-health estimation on the NASA lithium-ion battery dataset — a systematic meta-research review of open-access studies

Jeng Batacandolo
article en

Abstract

Pre-registered protocol (v1.2, 14 October 2026) and supporting materials for a systematic meta-research review of evaluation design and metric reporting in machine-learning state-of-health estimation studies using the NASA PCoE lithium-ion battery dataset. Includes the protocol, the dedicated search export (OpenAlex, 14 October 2026), the screening log for 3,157 records, the pre-registered random processing order of 398 candidates and the 25% verification sample, the blank extraction form and codebook, and the screening code. Deposited before full-text data extraction. A parallel OSF registration was submitted on the same day; its archiving failed because of an OSF-side file-copy error and is being resolved.

Zenodo (CERN European Organization for Nuclear Research)
Capiz State University (PH)
Openalex Percentile: Top 22%
Advanced Battery Technologies Research
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