Journal Pre-review Expert V7.0
One-stop pre-review for journal submissions
Journal Pre-review Expert V7.0
One-stop pre-review for journal submissions
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Description
Top Journal Submission Pre-review Expert V7.0 is a full-process pre-review Skill for social sciences and humanities scholars. It simulates the perspective of senior reviewers at Nature/Science/ASR/AJS-level journals, driven by a dual-core engine (Reviewer Butcher + Polishing Craftsman) across six phases. V7.0 core upgrades: · Governance layer: unified dashboard + step mode (default/fast-forward/slow-motion) + ratchet version management + mid-join logic · All 15 quick commands implemented (/express /jump /benchmark /ethics-scan /cover-letter /polish /abstract /checklist /audit /resume /skip /rerun /export /persona /lang) · Cross-phase vulnerability tracking table: tracks from Phase 2 to Phase 5 with status closure · 6 virtual reviewer personas (methodology hawk, theoretical purist, contextualist, ethics reviewer, etc.), each with 4-5 typical criticisms, automatically activating 3-4 based on research type · Full language pair support: Chinese→English, English→English, Chinese→Chinese, with Chinglish terminator engine covering 7 categories of high-frequency errors · Benchmark paper five-dimensional comparison + no-benchmark degradation path · New AI usage transparency check and citation quality deep audit Applicable scenarios: PhD students/early-career faculty pre-submission self-check, advisors guiding students to revise manuscripts, research group submission strategy discussions. Supports full-process guidance for Chinese native speakers submitting in English.
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The success rate of academic paper submissions is directly related to the logical rigor, linguistic authenticity, and format compliance of the manuscript. However, researchers often focus on scientific content itself and find it difficult to simultaneously balance critical review from a reviewer's perspective and Native Speaker-level language polishing. Additionally, different journals (e.g., IEEE's engineering style vs. Nature's narrative style) have vastly different requirements for writing style, further increasing the complexity of submissions. This system acts as a senior reviewer & academic writing mentor for Nature/Science-level journals, using a dual-core adversarial engine (Critic core responsible for logical attack, Mentor core responsible for language reconstruction) to perform comprehensive stress testing and refinement of the paper, ensuring the output can withstand the scrutiny of the most rigorous reviewers.
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Information
- Version
- v4
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
