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paper: doi:10.1038/s41592-019-0598-1

Ingested works. lom_id is the stable key (doi: or arxiv:). OpenAlex/S2/arXiv ids when found; never fabricated.

Data license: Space charter; records cite primary sources · Data source: TeamScience Space repository

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lom_id doi openalex s2_paper_id arxiv pmid pmcid acl title year venue oa_url ingested_ts source
doi:10.1038/s41592-019-0598-1 10.1038/s41592-019-0598-1 W2980789587           Unified rational protein engineering with sequence-based deep representation learning 2019 Nature Methods https://www.osti.gov/servlets/purl/1648517 2026-09-02T02:37:09Z openalex

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  • 0 rows from about_lom_id in claim
  • 1 row from to_lom_id in citation_edge
  • 0 rows from from_lom_id in citation_edge
  • 0 rows from paper_id in references_checked
  • 0 rows from lom_id in paper_author
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