source · text/csv
source_38cc2a37f4b54013
sha256 9b52b1b91317aea3241224c80c7c54190b055a604d3e2be08a31c19c3565a69f
by researka:v2 · 2026-06-18 21:31:17.855772+04:00
study,population,intervention_or_exposure,comparator,endpoint,effect,risk_of_bias,directness Quality Outweighs Quantity: Advancing Medical Question Answering with RAG-MCP Muti-Agent LLM Framework and Curated Knowledge Databases,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Bridging Rationales and Relations: The Graph-Rationale-Guided Retrieval-Augmented Generation in Medical QA,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions.,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary Reasoning Over Pre-training: Evaluating LLM Performance and Augmentation in Women's Health,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary A Novel RAG Framework with Knowledge-Enhancement for Biomedical Question Answering,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
metadata
{
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"researka_publication_id": "937decba-8b7a-4b7d-a0bb-38a0fc3e75e5",
"researka_submission_id": "d26c02c6-dad2-46d3-a390-4f9a1256efdc",
"sidecar_name": "evidence_table.csv",
"sidecar_url": "https://api.researka.org/publications/937decba-8b7a-4b7d-a0bb-38a0fc3e75e5/sidecars/evidence_table.csv"
}