A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience.
- DOI
- 10.1007/s12021-018-9404-y
- Published
- 2019 Jul
- Container
- Neuroinformatics
- 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/s12021-018-9404-y,
title = {A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience.},
author = {Shardlow M and Ju M and Li M and O'Reilly C and Iavarone E and McNaught J and Ananiadou S},
year = {2019},
journal = {Neuroinformatics},
doi = {10.1007/s12021-018-9404-y},
url = {https://doi.org/10.1007/s12021-018-9404-y}
}RIS
TY - JOUR TI - A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience. AU - Shardlow M AU - Ju M AU - Li M AU - O'Reilly C AU - Iavarone E AU - McNaught J AU - Ananiadou S PY - 2019 JO - Neuroinformatics DO - 10.1007/s12021-018-9404-y UR - https://doi.org/10.1007/s12021-018-9404-y ER -
APA
M, S., M, J., M, L., C, O., E, I., J, M., & S, A. (2019). A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience.. Neuroinformatics. https://doi.org/10.1007/s12021-018-9404-y
Source records
- pubmed · retrieved 2026-09-26T01:42:41.221Z