Evidence map›Paper›PMID 42686744›Full record

ArticleNature communications2026

Select earthquake forecasting models demonstrate consistency with prospective decadal observations in California.

José A Bayona, Francesco Serafini, Fábio Silva, Pablo Iturrieta, William H Savran, Marcus Herrmann, Warner Marzocchi, Philip J Maechling, Maximilian J Werner

Abstract read
In one paragraph

Article in Nature communications, 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.

José A BayonaSchool of Earth Sciences, University of Bristol, Bristol, UK. jose.bayona@bristol.ac.uk.ORCID http://orcid.org/0000-0002-3026-0327
Francesco SerafiniSchool of Earth Sciences, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0003-0154-6200
Fábio SilvaStatewide California Earthquake Center, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-6543-5705
Pablo IturrietaHelmholtz Centre for Geosciences (GFZ Postdam), Potsdam, Germany.ORCID http://orcid.org/0000-0002-4787-1343
William H SavranNevada Seismological Laboratory, University of Nevada Reno, Reno, NV, USA.ORCID http://orcid.org/0000-0001-5404-0778
Marcus HerrmannUniversity of Naples Federico II, Naples, Italy.ORCID http://orcid.org/0000-0002-2342-1970
Warner MarzocchiUniversity of Naples Federico II, Naples, Italy.ORCID http://orcid.org/0000-0002-9114-1516
Philip J MaechlingStatewide California Earthquake Center, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-9221-7068
Maximilian J WernerSchool of Earth Sciences, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-2430-2631

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Earthquake forecasting systems are now operationalized by agencies in several countries, providing situational awareness to at-risk communities. To ensure that forecasts follow the best science available, the underlying models require rigorous testing against prospective data and benchmarking. Between August 2007 and August 2018, 27 forecasting models, including the types used for operational earthquake forecasting, were prospectively operated as part of a multi-institutional project by the Collaboratory for the Study of Earthquake Predictability, generating 51,625 next-day M

Identifiers

PMID42686744
PMCPMC13538450

What OpenQuestion holds

Textmetadata
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.