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Abstract In evaluative bibliometrics and higher education studies, one is frequently confronted with the task of comparing institutions with similar institutions. In this Letter to the Editor, a simple approach is discussed which applies ChatGPT. Although the approach seems to produce promising results (tested with an example at the level of research institute and of a university), it is necessary to investigate it systematically based on a sample including many institutions before it should be applied in research evaluation. The challenge in systematic investigations is that ChatGPT provides the user with different answers on the sane request (missing reliability).
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Stored only when both papers are in the corpus — 16 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.