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The
magazine is free of charge, does not charge for processing or publication
of articles, is published electronically and the address is: http://www.revmedicaelectronica.sld.cu/index.php/rme.
The journal uses the CC BY-NC 4.0 international license. It allows:
o Copy and redistribute published material in any medium or format.
o Adapt the content.
This will be done under the following terms:
o Attribute authors' credits and indicate if changes were made, in which
case they should be in a reasonable manner.
o Non-commercial use.
o Recognize the magazine where it is published.
The authorship rights of each article are maintained, without restrictions.
In addition
to the above as other possible topics should include:
Author:
The Revista Médica Electrónica, in accordance with the recommendations
for the conduct, reporting, editing and publication of scholarly work
in medical journals, published by the International Committee of Medical
Journal Editors (www.icmje.org), considers an "author" to be
one who meets all of the following conditions:
o Substantial contributions to the conception or design of the research/scientific
work; or the acquisition, analysis and interpretation of data.
o Write/prepare the final report or critically review its contents.
o Approval of the final version of the report to be published.
o Be responsible for all aspects of the work to ensure that questions
regarding the accuracy or completeness of any part of the work are properly
investigated and resolved.
Changes in authorship will not be accepted once the paper has been uploaded
to the journal's platform, neither in order nor in the number of authors
or contribution of the same.
Authors of papers in the Revista Médica Electrónica in the
original articles and short communications section should define the authorship
contribution of the different authors of the paper according to the CRediT
taxonomy (Contributor Roles Taxonomy).
CRediT includes 14 roles, which can be used to represent those typically
performed by contributors to academic scientific production. The roles
describe the specific contribution of each contributor to academic production.
The CreDiT taxonomy provides a way to encode contribution information
within the article XML files. It identifies the specific nature of an
individual's contribution with respect to the available research material.
Its purpose is to provide transparency in contributions to published work
by scholars, to enable improved systems of attribution, credit, and accountability.
The objective of this recommendation is to promote transparency of contribution
information in the article XML and to ensure that contribution types are
encoded in a machine-readable manner and optimized for reuse.
Anti-plagiarism
policies:
This journal uses an electronic match detection system as part of its
editorial management to ensure the quality of the publication, which contributes
to the prevention of possible plagiarism. Articles with a match level
above 50% will be analyzed in depth.
In case of plagiarism, the authors will be sanctioned to three years (minimum
measure) without the possibility of publishing in the Revista Médica
Electrónica.
Acceptance
of preprints:
This journal accepts documents previously published in recognized preprints
servers (SciELO Preprints, Medxiv, ArXiv, bioRxiv, Plos) and others considered
by the Editorial Committee.
If an article is published in whole or in part on the web pages of an
event or conference, on a preprint server (SciELO Preprints, PMC, Plos,
MedRxiv) or academic social network (ResearchGate), the authors should
mention in their submission the availability of the document on any of
these servers and its exact location.
Database:
The Revista Médica Electrónica promotes the openness of
research data, so authors are invited to publicly post and reference the
data used in their research, so that they can be shared and reused, which
favors the transparency and credibility of science. In addition, each
original article and brief communication should be accompanied by the
analyzed database (uploaded as complementary material) in a modifiable
format for Excel (.xlsx or .xls) or SPSS (.sav).
Use of Artificial
Intelligence:
Significant recent advances in large language models (sophisticated generative
artificial intelligence - AI - algorithms trained on massive amounts of
language data) have resulted in widely available writing tools, such as
OpenAI's popular chatbot, ChatGPT, that can parse text and produce new
content in response to user prompts. This technology has important and
immediate implications for academics writing articles and for the journals
that publish them.
Large language models have a powerful ability to search and repackage
information from their training data set into a wide variety of formats
and styles that users can specify. They can be used to generate ideas
and outlines for academic manuscripts, or even the full text of articles.
Because contemporary AI tools can be remarkably well trained to mimic
human speech and writing styles, their results can closely resemble those
of a human author and can convey the impression of accuracy and authority,
as well as an emotional connection.
Requirements for reporting the use of AI-assisted technologies for manuscripts
submitted to RME (based on recommendations of the International Committee
of Medical Journal Editors).
o In the article submission, the RME requires authors to disclose any
use of AI-assisted technologies in any aspect of the creation of the submitted
work.
o Authors should describe the nature of such use in the WAME Manuscript
Checklist, as well as in the manuscript itself.
o Artificial intelligence and AI-assisted technologies should not be listed
as an author or co-author of a manuscript.
o Artificial intelligence and AI-assisted technologies should not be cited
as a reference or other primary source or as the author of a reference.
o Human authors are responsible for any material submitted that includes
the use of AI-assisted technologies, including its correctness, completeness
and accuracy.
o Authors must be able to claim that there is no plagiarism in the article,
including text and images produced by AI-assisted technologies, and must
ensure proper attribution of all material, including full citations where
appropriate.
o Peer reviewers should not load RME manuscripts into software or other
artificial intelligence technologies where confidentiality cannot be guaranteed.
o Even if AI-assisted technologies are used in a manner that can ensure
the confidentiality of the manuscript, reviewers who choose to use such
technologies to facilitate their review must disclose their use and nature
to the RME and are responsible for ensuring that any AI-generated information
the content incorporated in reviews is correct, complete, and unbiased.
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