Evidence map›Paper›PMID 35702701›Full record

ArticleEnvironment, development and sustainability2022

Building a novel multivariate nonlinear MGM(1,

Pingping Xiong, Xiaojie Wu, Jing Ye

Abstract read
In one paragraph

Article in Environment, development and sustainability, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Pingping XiongSchool of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044 China.
Xiaojie WuSchool of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044 China.
Jing YeSchool of Management Science and Engineering, Nanjing University of Finance & Economics, Nanjing, 210023 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the proposal of the carbon neutrality target, China's attention to carbon emissions has been further enhanced. Effective prediction of future carbon emissions is important for the formulation of carbon neutralization target and action plans in the region. Many factors affecting carbon emissions, cause their development trends may be nonlinear. To forecast the carbon emissions of coal and natural gas in the industrial sector more accurately, a new MGM(1,

Indexed as

Grey system theoryIndustrial sectorMultivariate prediction modelParameter optimization

Identifiers

PMID35702701
PMCPMC9184399

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.