Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study
Pre-publication versions of this article are available by contacting firstname.lastname@example.org.
|6 Nov 2018||Submitted||Original manuscript|
|9 Dec 2018||Reviewed||Reviewer Report - Uri Kartoun|
|9 Jan 2019||Reviewed||Reviewer Report - Zhijun Yin|
|31 Jan 2019||Reviewed||Reviewer Report - Licong Cui|
|8 Mar 2019||Author responded||Author comments - Frank Soboczenski|
|Resubmission - Version 2|
|8 Mar 2019||Submitted||Manuscript version 2|
|25 Mar 2019||Reviewed||Reviewer Report - Licong Cui|
|27 Mar 2019||Reviewed||Reviewer Report - Zhijun Yin|
|11 Apr 2019||Author responded||Author comments - Frank Soboczenski|
|Resubmission - Version 3|
|11 Apr 2019||Submitted||Manuscript version 3|
|15 Apr 2019||Editorially accepted|
|8 May 2019||Article published||10.1186/s12911-019-0814-z|
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 email@example.com.
You can find further information about the peer review system here.