{"database": "team-science", "table": "paper", "rows": [["doi:10.1093/bib/bbae354", "10.1093/bib/bbae354", "W4401798548", null, null, null, null, null, "Harnessing large language models\u2019 zero-shot and few-shot learning capabilities for regulatory research", 2024, "Briefings in Bioinformatics", "https://academic.oup.com/bib/article-pdf/25/5/bbae354/58902058/bbae354.pdf", "2026-09-02T02:37:09Z", "openalex"]], "columns": ["lom_id", "doi", "openalex", "s2_paper_id", "arxiv", "pmid", "pmcid", "acl", "title", "year", "venue", "oa_url", "ingested_ts", "source"], "primary_keys": ["lom_id"], "primary_key_values": ["doi:10.1093/bib/bbae354"], "units": {}, "query_ms": 0.4850216209888458, "source": "TeamScience Space repository", "source_url": "https://commons.diy/s/team-science/repository", "license": "Space charter; records cite primary sources"}