Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error
Pre-publication versions of this article are available by contacting email@example.com.
|1 Feb 2018||Submitted||Original manuscript|
|2 Mar 2018||Reviewed||Reviewer Report - Louise Millard|
|15 Mar 2018||Reviewed||Reviewer Report - Catherine Blake|
|13 Sep 2018||Author responded||Author comments - Alexandra Bannach-Brown|
|Resubmission - Version 2|
|13 Sep 2018||Submitted||Manuscript version 2|
|25 Oct 2018||Reviewed||Reviewer Report - Gabriela C Nunez-Mir|
|11 Nov 2018||Reviewed||Reviewer Report - Jennifer Stone|
|10 Dec 2018||Author responded||Author comments - Alexandra Bannach-Brown|
|Resubmission - Version 3|
|10 Dec 2018||Submitted||Manuscript version 3|
|17 Dec 2018||Reviewed||Reviewer Report - Gabriela C Nunez-Mir|
|3 Jan 2019||Reviewed||Reviewer Report - Jennifer Stone|
|Resubmission - Version 4|
|Submitted||Manuscript version 4|
|3 Jan 2019||Editorially accepted|
|15 Jan 2019||Article published||10.1186/s13643-019-0942-7|
How does Open Peer Review work?
Open peer review is a system where authors know who the reviewers are, and the reviewers know who the authors are. If the manuscript is accepted, the named reviewer reports are published alongside the article. Pre-publication versions of the article are available by contacting firstname.lastname@example.org.
You can find further information about the peer review system here.