The Metabolic Regimes at the Scale of an Entire Stream Network Unveiled Through Sensor Data and Machine Learning.
- DOI
- 10.1007/s10021-021-00618-8
- Published
- 2021
- Container
- Ecosystems (New York, N.Y.)
- 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:10.1007/s10021-021-00618-8,
title = {The Metabolic Regimes at the Scale of an Entire Stream Network Unveiled Through Sensor Data and Machine Learning.},
author = {Segatto PL and Battin TJ and Bertuzzo E},
year = {2021},
journal = {Ecosystems (New York, N.Y.)},
doi = {10.1007/s10021-021-00618-8},
url = {https://doi.org/10.1007/s10021-021-00618-8}
}RIS
TY - JOUR TI - The Metabolic Regimes at the Scale of an Entire Stream Network Unveiled Through Sensor Data and Machine Learning. AU - Segatto PL AU - Battin TJ AU - Bertuzzo E PY - 2021 JO - Ecosystems (New York, N.Y.) DO - 10.1007/s10021-021-00618-8 UR - https://doi.org/10.1007/s10021-021-00618-8 ER -
APA
PL, S., TJ, B., & E, B. (2021). The Metabolic Regimes at the Scale of an Entire Stream Network Unveiled Through Sensor Data and Machine Learning.. Ecosystems (New York, N.Y.). https://doi.org/10.1007/s10021-021-00618-8
Source records
- pubmed · retrieved 2026-09-25T17:05:36.300Z