Evidence map›Paper›PMID 42157887›Full record

ArticleChemical science2026

Mastering the potential of well-defined ML

Maria Biosca, Pol de la Cruz-Sánchez, Jorge Faiges, Aitor Maestro, C Oliver Kappe, Sándor B Ötvös, Miquel A Pericàs, Oscar Pàmies, Montserrat Diéguez

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

9 authors.

Maria BioscaUniversitat Rovira i Virgili, Departament de Química Física i Inorgànica C/ Marcel lí Domingo, 1 43007 Tarragona Spain montserrat.dieguez@urv.cat.
Pol de la Cruz-SánchezUniversitat Rovira i Virgili, Departament de Química Física i Inorgànica C/ Marcel lí Domingo, 1 43007 Tarragona Spain montserrat.dieguez@urv.cat.ORCID https://orcid.org/0000-0002-0476-7722
Jorge FaigesUniversitat Rovira i Virgili, Departament de Química Física i Inorgànica C/ Marcel lí Domingo, 1 43007 Tarragona Spain montserrat.dieguez@urv.cat.
Aitor MaestroInstitute of Chemistry, University of Graz NAWI Graz A-8010 Graz Austria.
C Oliver KappeInstitute of Chemistry, University of Graz NAWI Graz A-8010 Graz Austria.ORCID https://orcid.org/0000-0003-2983-6007
Sándor B ÖtvösInstitute of Chemistry, University of Graz NAWI Graz A-8010 Graz Austria.ORCID https://orcid.org/0000-0001-6673-1744
Miquel A PericàsUniversitat Rovira i Virgili, Departament de Química Física i Inorgànica C/ Marcel lí Domingo, 1 43007 Tarragona Spain montserrat.dieguez@urv.cat.ORCID https://orcid.org/0000-0003-0195-8846
Oscar PàmiesUniversitat Rovira i Virgili, Departament de Química Física i Inorgànica C/ Marcel lí Domingo, 1 43007 Tarragona Spain montserrat.dieguez@urv.cat.
Montserrat DiéguezUniversitat Rovira i Virgili, Departament de Química Física i Inorgànica C/ Marcel lí Domingo, 1 43007 Tarragona Spain montserrat.dieguez@urv.cat.ORCID https://orcid.org/0000-0002-8450-0656

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Catalytic complexes involving different monodentate ligands coordinated to the same metal center offer considerable interest towards the development of new processes and the improvement of the characteristics of known ones. However, one of the major drawbacks in using mixtures of monodentate ligands in asymmetric metal catalysis lies in the difficulty of controlling the formation of active species containing both of the desired ligands coordinated at the same time to the metal center (ML

Identifiers

PMID42157887
PMCPMC13182619

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.