Evidence map›Paper›PMID 36010788›Full record

ArticleEntropy (Basel, Switzerland)2022

A Spatial-Temporal Causal Convolution Network Framework for Accurate and Fine-Grained PM

Shaofu Lin, Junjie Zhao, Jianqiang Li, Xiliang Liu, Yumin Zhang, Shaohua Wang, Qiang Mei, Zhuodong Chen, Yuyao Gao

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 28% of its field
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

2 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 4 institutions in 1 country.

Shaofu LinFaculty of Information Technology, Beijing University of Technology, Beijing 100124, China.ORCID 0000-0002-3653-6531
Junjie ZhaoFaculty of Information Technology, Beijing University of Technology, Beijing 100124, China.
Jianqiang LiFaculty of Information Technology, Beijing University of Technology, Beijing 100124, China.
Xiliang LiuFaculty of Information Technology, Beijing University of Technology, Beijing 100124, China.ORCID 0000-0001-5882-9389
Yumin ZhangFaculty of Information Technology, Beijing University of Technology, Beijing 100124, China.
Shaohua WangState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
Qiang MeiNavigation College, Jimei University, Xiamen 361021, China.
Zhuodong ChenChina National Petroleum Corporation Auditing Service Center, Beijing 100028, China.
Yuyao GaoFaculty of Information Technology, Beijing University of Technology, Beijing 100124, China.
Beijing University of Technology · CNChina National Petroleum Corporation (China) · CNChinese Academy of Sciences · CNJimei University · CN

Funding

National Key R&D Program 2020YFB2104400
6 · The paper itself

Abstract

Accurate and fine-grained prediction of PM

Indexed as

Bayesian optimizationcausal convolution networkFriedman testmulti-source factorsPM2.5 predictionShapley analysis

Identifiers

PMID36010788
PMCPMC9407057
OpenAlexW4291743433

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.