arXiv (OAI Expanded)
open access
Detecting Conflicts in Evidence Synthesis Models Using Score Discrepancies
Evidence synthesis models combine multiple data sources to estimate latent quantities of interest, enabling reliable inference on parameters that are difficult to measure directly. However, shared parameters across data sources can induce conflicts both among the data and with the assumed model stru
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Measuring the Meaning of Genomic Results: Harmonization of the Metric for Case-Level Results in the CSER2 Consortium#321465
- Precision Grounding: augmenting large language models with evidence-based databases for trustworthy genetic variant summarization.#244253
- Atomic Fact-Checking Increases Clinician Trust in Large Language Model Recommendations for Oncology Decision Support: A Randomized Controlled Trial#155332
- Attributable by Construction: Claim-Anchored Provenance for Multi-Document Summarization#999818
- ✶ Likelihood Literacy: Why Compatibility Is Not Confirmation#714812
Record · ID 1082986
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive