Structural diagnostics
- Title and abstract completeness checks
- Heading hierarchy consistency checks
- Supplementary file references validation
Comprehensive checks
- Manuscript structure: Title page, abstract, keywords, headings, and supplementary files.
- Reference quality: Citation style conformance and missing/malformed references.
- Compliance: Ethics statement, consent, funding, conflict of interest, and data availability.
- Indexing metadata: Author IDs, affiliations, correspondence, and discoverability fields.
Editorial impact
Editors receive a standardized QC report with pass/fail logic, severity levels, and corrective actions. This removes repetitive checks and improves first-pass acceptance quality.
How the QC engine works
- Step 1: Intake parser reads manuscript files, metadata, and supplementary documents.
- Step 2: Rule engine validates structure, citation consistency, and policy-specific fields.
- Step 3: AI diagnostics classify severity and generate corrective actions for authors/editors.
- Step 4: Final scorecard is attached inside the workflow for traceable editorial decisions.
Report depth and controls
Reference diagnostics
- Style-format consistency detection
- Reference-citation link integrity
- Incomplete citation field identification
Compliance diagnostics
- Ethics and consent statement presence
- Funding and conflict disclosure checks
- Data availability statement verification
Indexing diagnostics
- ORCID and affiliation completeness
- Corresponding author metadata checks
- Discoverability field quality scoring
FAQ
Can we customize rules per journal?
Yes. Rules are configured against your author guidelines, target indexes, and editorial policy model.
Will this replace editors?
No. It removes repetitive technical checks so editors can spend time on scholarly quality and decision-making.
Performance outcomes
< 60sper manuscript analysis
57%faster editorial triage
91%average pre-check pass rate