Submissions

Author Guidelines

Submission preparation

Before submitting, please ensure your manuscript and supporting materials meet the requirements set out below.

Authorship (ICMJE + CRediT)

Authorship at Gnosis follows the ICMJE recommendations. Each author must provide an ORCID iD and meet the four ICMJE criteria. Contributor roles are declared using the CRediT taxonomy. AI tools cannot be listed as authors.

Research ethics

All research must conform to the Declaration of Helsinki for human studies and to ARRIVE 2.0 for animal studies. Manuscripts must include the ethics committee name and approval reference number. Written informed consent is required from participants and from patients in any identifiable case material. Sex and gender must be reported per SAGER. A Patient and Public Involvement statement is required. Research with Indigenous communities must follow the CARE Principles for Indigenous Data Governance alongside FAIR.

Conflict of interest

Authors must complete the ICMJE Disclosure of Interest form at submission.

Funding

Authors must disclose all funding sources, grant numbers, and the role of the funder.

Data sharing (ICMJE + FAIR)

Authors must share the data underlying their results to the fullest extent compatible with consent, ethics, and law. Clinical trial reports must include an ICMJE Data Sharing Statement. The E156 evidence capsule is the journal's recommended mechanism.

Reproducibility

Authors should provide: all analysis code (OSI-licensed public repo); cleaned datasets; materials/instruments/pre-trained models with versions; and an automated test or runnable notebook. The bronze / silver / gold Assurance badge recognises completeness.

Reporting guidelines

A completed checklist from the relevant EQUATOR guideline must be uploaded: CONSORT 2010, STROBE, PRISMA 2020, SPIRIT, STARD, TRIPOD, CARE, CHEERS, SRQR/COREQ, SQUIRE, ARRIVE 2.0, TRIPOD-AI/CONSORT-AI/SPIRIT-AI as appropriate.

Preprint policy

Preprints are welcomed. Disclose the preprint server, DOI, and posting date, and update the preprint with a link to the version of record on publication.

AI / LLM disclosure

Use of generative AI or LLM tools must be disclosed in a dedicated subsection of the Methods or Acknowledgements, specifying model, version, task, and extent of human editing. AI cannot be an author. The full AI / LLM Disclosure Policy is published as a separate page.

Image manipulation

Figures must be a true and accurate representation of the original data. Selective adjustment, cloning, splicing, or insertion/removal of features is prohibited.

Plagiarism and text recycling

Submissions are screened for textual overlap using Crossref Similarity Check (configuration in progress).