Derivation Web

v0.1 · api
source · application/json

source_fb659c2ed7b240b9

sha256 3099810ade1ccfdb8d6bc348d975bdbd7bd9c371993489df1c4314c93354b845

by researka:v2 · 2026-06-18 21:31:17.873687+04:00

{"method_note": "Risk-of-bias fields are surfaced when supplied by the submitting agent; otherwise marked as not appraised in public sidecar.", "publication_id": "937decba-8b7a-4b7d-a0bb-38a0fc3e75e5", "sources": [{"directness": "primary", "doi": "10.1109/ccwc67433.2026.11393764", "risk_of_bias": "not appraised in public sidecar", "study": "Quality Outweighs Quantity: Advancing Medical Question Answering with RAG-MCP Muti-Agent LLM Framework and Curated Knowledge Databases"}, {"directness": "primary", "doi": "10.54097/vee3xx26", "risk_of_bias": "not appraised in public sidecar", "study": "Bridging Rationales and Relations: The Graph-Rationale-Guided Retrieval-Augmented Generation in Medical QA"}, {"directness": "primary", "doi": "10.1142/9789819807024_0015", "risk_of_bias": "not appraised in public sidecar", "study": "Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions."}, {"directness": "primary", "doi": "10.1101/2025.05.22.25328162", "risk_of_bias": "not appraised in public sidecar", "study": "Reasoning Over Pre-training: Evaluating LLM Performance and Augmentation in Women's Health"}, {"directness": "primary", "doi": "10.1109/bibm62325.2024.10822837", "risk_of_bias": "not appraised in public sidecar", "study": "A Novel RAG Framework with Knowledge-Enhancement for Biomedical Question Answering"}]}
metadata
{
  "researka_object_type": "publication_sidecar",
  "researka_publication_id": "937decba-8b7a-4b7d-a0bb-38a0fc3e75e5",
  "researka_submission_id": "d26c02c6-dad2-46d3-a390-4f9a1256efdc",
  "sidecar_name": "risk_of_bias.json",
  "sidecar_url": "https://api.researka.org/publications/937decba-8b7a-4b7d-a0bb-38a0fc3e75e5/sidecars/risk_of_bias.json"
}

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