What is a journal acceptance probability checker?

It estimates how likely your manuscript is to be accepted before you submit. Ours returns a Tier 1–5 score calibrated against real acceptance outcomes from 19+ peer-review platforms (OpenReview, eLife, SciPost, PLOS ONE, Nature Communications and others) — so it reflects what editors actually accept, not a generic 'is this good?' guess.

What does the pre-check cost?

Creating an account is free and comes with 25 credits to start. Each pre-check run costs 15 credits — that covers the tier verdict, detected field, journal shortlist, and research gaps in one pass. Credits are bought in one-time packs (with regional pricing) and never expire; there's no subscription. We keep pre-submission feedback inexpensive on purpose, and earn revenue from authors who go on to use the full review or publish in the open-access journal.

How accurate is the Tier 1–5 verdict?

On a held-out set of 1,000 papers with known editorial outcomes, our scorer's tier predictions matched the actual outcome (within ±1 tier) in 78% of cases. It's better than human reviewer-self-reports of 'will this be accepted?' (typically 55–60% accurate) because it's calibrated against real outcomes rather than gut feel.

Will my title and abstract be used to train your AI?

No. Pre-check inputs are processed in-memory and not stored beyond the session. The training corpus is exclusively the 69,000 publicly-available peer reviews scraped from open-review platforms. Your title and abstract are never added to it.

Does the pre-check identify research gaps?

Yes. The output includes three research gaps the scorer detected around your topic, derived from our 120,000+ gap library and OpenAlex's 250M-work graph. Useful for spotting follow-up paper opportunities or for revising your novelty framing.

Can I pre-check the same paper multiple times as I revise?

Yes — please do. Iterating between the pre-check and revision is exactly the workflow we built it for. Each run is independent; we don't penalise re-submission of the same title.

What about non-English papers?

The pre-check accepts abstracts in English, and we deliberately calibrated against peer-review platforms with significant non-native-English authorship to avoid penalising clear-but-imperfect English. If you have a paper drafted in another language, paste a translated abstract for the pre-check, then run the full review on the original PDF — our Clarity & Language agent handles translation considerations directly.

How is this different from running my abstract through ChatGPT?

Three things: (1) our scorer is calibrated against real editorial outcomes, not generic 'is this good?' instinct; (2) the field-detection step routes your abstract to the rubric for that specific discipline; (3) the gap-detection step queries our 120,000+ gap library and the 250M-work OpenAlex graph — ChatGPT can't do that. The pre-check is built for one job; ChatGPT is built for thousands.

What happens after the verdict?

If Tier 1–2: submit to your target venue with confidence. If Tier 3: usually one focused revision pass closes the gap — the verdict screen shows the specific issues the scorer flagged. If Tier 4–5: consider running the full 8-agent review for line-level guidance, or look at the identified research gaps for repositioning angles.

Pre-Check

Will your paper be accepted? Journal acceptance probability checker

Run your title and abstract through a sub-second pre-submission check. Tier 1–5 acceptance probability + recommended target journals from a 17,500-venue index — calibrated against 69,000 real peer reviews. Create a free account: 25 credits to start, each run costs 15 credits.

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Verdict in

17,500

Venues indexed

69K+

Calibrated on real reviews

15 credits

Cost per run

What 'pre-check' actually means

A pre-check is the 60-second equivalent of asking a senior colleague: 'is this paper good enough to send out, or do I need another round?' Most authors never get an honest answer to that question because the people qualified to give it are too busy.

Our pre-check answers it from a title, abstract, and keywords — no full draft, no upload. The output is a calibrated Tier 1–5 verdict (Tier 1 = top venue ready; Tier 5 = needs major work) plus the detected scientific field and three identified research gaps surrounding your topic.

How the verdict is calibrated

Pre-check verdicts are not pulled from a generic LLM. The scorer is calibrated against acceptance rates from 19+ real peer review platforms — OpenReview, eLife, SciPost, PLOS ONE, BMJ Open, Nature Communications, PeerJ, F1000Research and others. A Tier 1 paper is one that, in our held-out validation set, was accepted at a top venue. A Tier 5 paper is one that was desk-rejected.

The model learns the field-specific signals editors look for: methodology coverage, novelty hedging, citation density, abstract structure, scope-versus-claim alignment.

Where to publish — matched target journals

Every pre-check run also returns a ranked shortlist of journals your manuscript fits, drawn from a 17,500-venue index built from our 4.5M-paper local library. Each recommendation carries a match-score, Open-Access flag, impact-factor proxy, publisher, tier, and 2–3 similar papers we've already indexed in that venue. Beall's-archive cross-reference flags low-curation venues so authors retain agency without surprises.

No API call per request. The retrieval runs locally against a baked FTS5 + RRF index — sub-100 ms p99, and the whole pre-check bundle (tier + journals + gaps) costs just 15 credits. The same panel appears at the bottom of the full AI Review.

When to use the pre-check vs the full review

The pre-check is the right call when:

You have a working title and abstract but the full draft isn't done yet — get a verdict before investing 80 more hours.
You're choosing between 2–3 target venues and want a calibrated read on which is realistic.
You just got an R&R and want to know whether the revision lands you above or below the bar.
You're a PhD student and your advisor is on sabbatical for the next month.

What the full 8-agent review adds

When the pre-check says 'almost there', upgrade to the full AI Review — 30 credits, pay-as-you-go, no subscription. The full review uploads your PDF and runs 8 specialist agents — Methodology, Formulas, Originality, Literature, Reproducibility, Clarity, Figures, Prior Publication — plus a 12-second concurrent prior-publication check across CrossRef, arXiv, medRxiv, bioRxiv, Unpaywall, and our 4.4M-paper institutional library.

Full turnaround: under 15 minutes. Output: a per-agent structured report with line-level revision suggestions and a JSON export.

Frequently asked questions

Paste your title, abstract, and 3–8 keywords into the pre-check. In under a second you get a calibrated Tier 1–5 journal acceptance probability — Tier 1 means top-venue ready, Tier 5 means major work needed — plus the detected research field and a shortlist of journals that fit. It's the fastest way to know whether to submit now or revise first. Create a free account to run it — 25 credits to start, each run costs 15 credits.

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