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This article suggests that the emphasis on forecast evaluations should be redirected from searching for “best” forecasters to finding those who are “better.” A new methodology is developed, and the results indicate that it is possible to identify “better” forecasters.
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Stored only when both papers are in the corpus — 40 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.