Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly privacy-sensitive setups — source available on GitHub.
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AI / Catalogue record

Catalogue record
github.com
📇 ☁️ - Academic peer-review and research workflow tools from Science AI Journal: Pre-Check (paper-tier prediction), AI multi-agent peer revi...
Field notes
📇 ☁️ - Academic peer-review and research workflow tools from Science AI Journal: Pre-Check (paper-tier prediction), AI multi-agent peer review, Research Gaps Finder, Journal Recommender (1,214 venues with predatory-journal flags), Duplicate Publication Checker (CrossRef/arXiv/medRxiv/bioRxiv/Unpaywall/900k-paper library), and the Article Writer pipeline. Free local tools (FTS5, zero LLM cost); LLM tools use caller account credits.
Best for
Teams evaluating AI models, assistants and generative workflows, particularly privacy-sensitive setups — source available on GitHub.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
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Evidence summary
Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly privacy-sensitive setups — source available on GitHub.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
Repository context
GitHub / SelfPy/science-ai-mcp-server
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Record provenance
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