research-mcp

Extract the key claims from this draft paragraph, find reliable academic sources for each claim, rank them by relevance and paper quality, and explain why they are recommended:

"In recent years, Transformer-based models have outperformed traditional methods in biomedical text mining, especially for named entity recognition and relation extraction."

A breakdown of claims, matched references, quality scores, and recommendation notes for each paper.

Here is a draft review paragraph. Identify statements that need evidence, search multiple academic sources to verify them, and indicate which claims are well supported versus weakly supported:

"Multimodal large models have already reached near-expert performance in medical image diagnosis and show stable generalization across most public datasets."

Outputs verifiable claims, supporting and opposing evidence, evidence strength, and safer revised wording.

Based on the following research idea, extract the core claims and find high-quality papers from the last five years as supporting references. Prioritize high-impact journals or highly cited papers, and briefly explain how each paper supports the project:

"We plan to develop a lightweight speech analysis model for early Alzheimer's disease screening."

Provides core claims, selected references, quality and relevance ranking, and brief notes on each paper’s value to the proposal.