Evidence map›Paper›PMID 39870753›Full record

ArticleScientific reports2025

Assessment model of ozone pollution based on SHAP-IPSO-CNN and its application.

Xiaolei Zhou, Xingyue Wang, Ruifeng Guo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. 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

3 authors.

Xiaolei ZhouShenyang Institute of Computing Technology, Chinese Academy of Sciences, Shenyang, 110168, Liaoning, China.
Xingyue WangShenyang Institute of Computing Technology, Chinese Academy of Sciences, Shenyang, 110168, Liaoning, China. wangxingyue221@mails.ucas.ac.cn.
Ruifeng GuoShenyang Institute of Computing Technology, Chinese Academy of Sciences, Shenyang, 110168, Liaoning, China.

Funding

the 2022 Shenyang Science and Technology Plan 'Jie Bang Gua Shuai' Key Core Technology Tackling Project (22-316-1-10, Shenyang Bureau of Science and Technology)the "Xing Shen Talent Plan" high-level technological innovation talent project (2023-28) and the Shenyang Young and Middle-aged Science and Technology Innovation Talent Support Plan RC230230
6 · The paper itself

Abstract

The problem of ground-level ozone (O

Indexed as

Deep learningFeature selectionGround-level ozone pollutionParticle swarm optimizationSHAP analysis

Identifiers

PMID39870753
PMCPMC11772615

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.