Evidence map›Paper›PMID 38123806›Full record

ArticleNature2023

Autonomous chemical research with large language models.

Daniil A Boiko, Robert MacKnight, Ben Kline, Gabe Gomes

Abstract read
In one paragraph

Article in Nature, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 265 papers.

0numbers the graph read from it
0cells of the map it votes in
265citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

265 citing papers in PubMed.

  1. Review
  2. Review
  3. Multi-AI agent framework reveals the "oxide gatekeeper" in aluminum nanoparticle oxidation.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. LLM-Assisted Design of Ultralow-Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Review
  6. Article
  7. Review
  8. Agentic campaign control for high-throughput de novo binder design.bioRxiv : the preprint server for biology · 2026
    Article
  9. Article
  10. Data-Driven Materials Science for Energy-Sustainable Applications.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  11. Article
  12. Review
  13. Article
  14. Artificial intelligence-assisted lead optimization in drug discovery: bridging computational advances and translational challenges.Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2026
    Review
  15. Unlocking Sensitive Data with SPHERE in the Age of AI.bioRxiv : the preprint server for biology · 2026
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review

205 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Daniil A BoikoDepartment of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID http://orcid.org/0000-0003-4140-4645
Robert MacKnightDepartment of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.
Ben KlineEmerald Cloud Lab, South San Francisco, CA, USA.
Gabe GomesDepartment of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA. gabegomes@cmu.edu.ORCID http://orcid.org/0000-0002-8235-5969

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transformer-based large language models are making significant strides in various fields, such as natural language processing

Identifiers

PMID38123806
PMCPMC10733136

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.