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253 papers

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A Proportionate Validation Framework for AI-Assisted Data Extraction in Evidence Synthesis: A Methodological Evaluation using Elicit Within a  Scoping Review in Health.

This study evaluates a proportionate validation framework for AI-assisted data extraction using Elicit within a health scoping review, demonstrating that high agreement between AI and human extraction (AC2 = 0.960) supports the use of structured human-in-the-loop workflows as a reliable and scalable alternative to full dual manual extraction.

Siân Shaw, Gillian Janes, Sophie Shaw, Isobel McMillan, Kate Cook, Oladepo Akinlotan, Jason Williams, Dan Robbins2026-06-24
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Estimating Nonlinear and Heterogeneous Determinants of Crash Severity Using Causal Machine Learning

Using causal machine learning on over 500,000 UK crash records, this study estimates that roads with speed limits of 50 mph or higher increase the likelihood of fatal or serious accidents by approximately 6–7 percentage points, with these effects being most pronounced during daytime under dry and favorable conditions.

Nakachew Assefa Kebede, Biruhi Tesefaye Abeje, Hassan M. Al-Ahmadi2026-06-24