Unexplored Antarctic meteorite collection sites revealed through machine learning.
- DOI
- 10.1126/sciadv.abj8138
- Published
- 2022 Jan 28
- Container
- Science advances
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1126/sciadv.abj8138,
title = {Unexplored Antarctic meteorite collection sites revealed through machine learning.},
author = {Tollenaar V and Zekollari H and Lhermitte S and Tax DMJ and Debaille V and Goderis S and Claeys P and Pattyn F},
year = {2022},
journal = {Science advances},
doi = {10.1126/sciadv.abj8138},
url = {https://doi.org/10.1126/sciadv.abj8138}
}RIS
TY - JOUR TI - Unexplored Antarctic meteorite collection sites revealed through machine learning. AU - Tollenaar V AU - Zekollari H AU - Lhermitte S AU - Tax DMJ AU - Debaille V AU - Goderis S AU - Claeys P AU - Pattyn F PY - 2022 JO - Science advances DO - 10.1126/sciadv.abj8138 UR - https://doi.org/10.1126/sciadv.abj8138 ER -
APA
V, T., H, Z., S, L., DMJ, T., V, D., S, G., P, C., & F, P. (2022). Unexplored Antarctic meteorite collection sites revealed through machine learning.. Science advances. https://doi.org/10.1126/sciadv.abj8138
Source records
- pubmed · retrieved 2026-09-26T05:00:43.554Z