Evidence map›Paper›PMID 37920500›Full record

ArticleHeliyon2023

Identifying weak signals to prepare for uncertainty in the energy sector.

Nicholas Gilmore, Ilpo Koskinen, Patrick Burr, Edward Obbard, Alistair Sproul, Georgios Konstantinou, Jose Bilbao, Rahman Daiyan, Merlinde Kay, Richard Corkish and 4 more

Abstract read
In one paragraph

Article in Heliyon, 2023. 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

14 authors.

Nicholas GilmoreSchool of Mechanical and Manufacturing Engineering, UNSW, Sydney, 2052, Australia.
Ilpo KoskinenSchool of Mechanical and Manufacturing Engineering, UNSW, Sydney, 2052, Australia.
Patrick BurrSchool of Mechanical and Manufacturing Engineering, UNSW, Sydney, 2052, Australia.
Edward ObbardSchool of Mechanical and Manufacturing Engineering, UNSW, Sydney, 2052, Australia.
Alistair SproulSchool of Photovoltaic and Renewable Energy Engineering, UNSW, Sydney, 2052, Australia.
Georgios KonstantinouSchool of Electrical Engineering and Telecommunications, UNSW, Sydney, 2052, Australia.
Jose BilbaoSchool of Photovoltaic and Renewable Energy Engineering, UNSW, Sydney, 2052, Australia.
Rahman DaiyanSchool of Chemical Engineering, UNSW, Sydney, 2052, Australia.
Merlinde KaySchool of Photovoltaic and Renewable Energy Engineering, UNSW, Sydney, 2052, Australia.
Richard CorkishSchool of Photovoltaic and Renewable Energy Engineering, UNSW, Sydney, 2052, Australia.
Iain MacgillSchool of Photovoltaic and Renewable Energy Engineering, UNSW, Sydney, 2052, Australia.
Emma LovellSchool of Chemical Engineering, UNSW, Sydney, 2052, Australia.
Chris MenictasSchool of Mechanical and Manufacturing Engineering, UNSW, Sydney, 2052, Australia.
Anna BruceSchool of Photovoltaic and Renewable Energy Engineering, UNSW, Sydney, 2052, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to prepare the energy sector for uncertainty using a foresight tool known as

Identifiers

PMID37920500
PMCPMC10618798

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.