Reviewers read for patterns. So does Clasr.
The gap between what a paper claims and what its evidence actually supports. That’s what Clasr finds.
The core function.
Clasr reads the whole manuscript; how the topic gets framed, what the methods actually show, where the figures land, what’s left uncertain. Eleven sections, each read the same disciplined way.
What comes back isn’t a summary. It’s every observation, labeled: where it’s located, what kind of read it is, and how serious it looks. In Author Mode, each finding also includes a short “Consider” note.
Every manuscript opens with a promise. The question is whether that promise survives.
The Argument Chain follows the central claim from introduction to conclusion, watching whether the manuscript stays inside the argument it set up, or quietly redefines it once it reaches the discussion.
Claim scope
What’s being claimed, where, and at what level.
Premise visibility
Are the argument’s foundations shown, or just assumed?
Method-claim fit
Can the design actually carry the claim being made?
Finding alignment
Do the reported findings match how they’re framed?
Conclusion scope
Does the conclusion stay inside what the evidence allows?
A pattern this catches often: a manuscript that’s correct section by section, but quietly redefines its claim by the time it reaches the discussion.
Reviewers notice this. So does the Argument Chain.
Editorial concern rarely comes from a single flaw.
It comes from clusters: a scope mismatch next to an over-promising abstract, opaque methods, or a thin reproducibility profile. Any one may be manageable on its own. Together, they can create a broader editorial concern.
The Desk-Reject Profile maps where these risks cluster across the manuscript and highlights when multiple critical gaps appear together.
This is visibility, not prediction. Clasr does not estimate whether a manuscript will be rejected. It shows where multiple editorial concerns overlap, so you can see the pattern before submission.
Different journal tiers call for different levels of scrutiny.
Choose the journal tier you’re targeting, and Clasr adjusts the reading accordingly. If you’re not sure, use Auto.
Field matters too. A legal paper and a clinical trial are not read the same way, even at the same journal tier. Relevant reporting frameworks such as CONSORT, STROBE, PRISMA, STARD, ARRIVE, and COREQ are used where applicable.
One detection engine. Three audiences.
Author Mode
Plain-language explanations, plus a sense of what a reviewer might ask. Each finding includes a short “Consider” note to guide your next revision.
Reviewer Mode
Concise signal labels and locations, without extra explanation. Built for fast, focused reading.
Editor Mode
A manuscript-wide view of the most important signals and where they cluster. Built for quick triage and oversight.
Detection doesn’t change between modes. The same signals sit underneath; only the way they’re presented changes.
Your full report can be exported as a PDF.