Evidence map›Paper›PMID 41777710›Full record

ArticleChemical science2026

Decoding the unseen: unsupervised anomaly detection in metal-organic frameworks for discovery beyond the norm.

Hosein Alimardani, Shayan Abaei, Mehrdad Asgari

Abstract read
In one paragraph

Article in Chemical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Hosein AlimardaniFaculty of Engineering, University of Tehran Tehran Iran.ORCID https://orcid.org/0009-0008-2850-2236
Shayan AbaeiSchool of Chemical Engineering, Faculty of Engineering, University of Tehran Tehran Iran.ORCID https://orcid.org/0009-0001-5794-0314
Mehrdad AsgariLucy Cavendish College, University of Cambridge Cambridge CB3 0BU UK ma2000@cam.ac.uk.ORCID https://orcid.org/0000-0002-5427-1610

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discovery of chemically novel or structurally anomalous metal-organic frameworks (MOFs) is essential for expanding reticular design space and enhancing dataset reliability. We present CHEM-AD (Chemically Unusual Metal-organic Frameworks

Identifiers

PMID41777710
PMCPMC12952661

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Registered trials

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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.