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Prompt-driven large language model for evidence extraction in implementation science: exploring semantic similarity between manual and automated coding across studies

2026-02-19

Abstract excerpt

<p>BackgroundDespite rapid scientific advancements that generate clinical interventions to optimize disease prevention, diagnostics, and treatments, significant gaps remain between evidence and clinical adoption. Implementation science evaluates targeted strategies systematically designed to promote the adoption, integration, and sustainment of evidence-based interventions, programs, and policies in real-world set...

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Literature Corpus work
c5b3b4f9-f85d-536b-9d88-b19b05264e5a
DOI
10.31222/osf.io/3z2ec_v1
Open publication

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Semantic proximity does not establish scientific evidence.

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Prompt-driven large language model for evidence extraction in implementation science: exploring semantic similarity between manual and automated coding across studiesDOI 10.31222/osf.io/3z2ec_v1
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