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• EvidenceNet achieves 98.3% field-level extraction accuracy in its evidence extraction pipeline.technical 95%
• EvidenceNet achieves 100.0% high-confidence entity-link accuracy in entity normalization.technical 95%
• EvidenceNet-HCC contains 7,872 evidence records, 10,328 graph nodes, and 49,756 edges.result 95%
• EvidenceNet uses a hybrid strategy combining deterministic heuristics and LLM-based verification for assigning semantic relations between evidence records.method 90%
• EvidenceNet's extraction schema is based on the PICO framework and captures elements like study object, intervention, comparison, outcomes, and quantitative attributes.method 90%
• EvidenceNet includes typed evidence-evidence relations such as SUPPORTS, CONTRADICTS, REFINES, EXTENDS, REPLICATES, and CAUSAL_CHAIN.method 90%
• EvidenceNet improves internal and external retrieval-augmented question answering in downstream evaluation.result 85%
• The current release of EvidenceNet operates on disease-specific corpora assembled from recent PubMed-indexed articles with available full text.limitation 85%

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