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LLM-assisted screening and extraction for systematic reviews: workload reduction and refusal-driven missingness in a land-use evidence synthesis

2026-05-04

Abstract excerpt

<title>Abstract</title> <p>Generative AI may reduce the cost of systematic reviews, but deployed models can fail in ways that affect which evidence is included in a review. We evaluated a hosted large language model (LLM), Qwen Max, as an assistant for an environmental evidence synthesis on national-scale land-use/land-cover prediction. After retrieving 11,817 Web of Science records and screening 11,688 unique re...

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Literature Corpus work
3c3c7338-860d-5030-9ea7-672c1c592cc2
DOI
10.21203/rs.3.rs-9582053/v1
Open publication

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LLM-assisted screening and extraction for systematic reviews: workload reduction and refusal-driven missingness in a land-use evidence synthesisDOI 10.21203/rs.3.rs-9582053/v1
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