Identification of response regulation governing ozone formation based on influential factors using a random forest approach.

Yan Huang, Qingqing Wang, Xiaojie Ou, Dongping Sheng, Shengdong Yao, Chengzhi Wu, Qiaoli Wang

Abstract read

In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it

0cells of the map it votes in

3citing 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

3 citing papers in PubMed.

Notch Signaling Pathway Regulates Ozone-Induced Lung Circadian Rhythm Disruption.Toxics · 2025
Article
Source Analysis of Ozone Pollution in Liaoyuan City's Atmosphere Based on Machine Learning Models and HYSPLIT Clustering Method.Toxics · 2025
Article
Assessment model of ozone pollution based on SHAP-IPSO-CNN and its application.Scientific reports · 2025
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

7 authors.

Yan HuangEcological Environmental Monitoring Station of Deqing County, Huzhou, 313200, China.

Qingqing WangEcological Environmental Monitoring Station of Deqing County, Huzhou, 313200, China.

Xiaojie OuCollege of Environment, Zhejiang University of Technology, Hangzhou, 310032, China.

Dongping ShengCollege of Environment, Zhejiang University of Technology, Hangzhou, 310032, China.

Shengdong YaoCollege of Environment, Zhejiang University of Technology, Hangzhou, 310032, China.

Chengzhi WuTrinity Consultants, Inc. (China Office), Hangzhou, 310012, China.

Qiaoli WangCollege of Environment, Zhejiang University of Technology, Hangzhou, 310032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pursuit of enhanced scientific, refined, and precise ozone and air quality control continues to pose significant challenges. Using data visualization techniques and random forest (RF) algorithms, the temporal distribution of atmospheric pollutants and the interrelationship between O

Indexed as

Influence factorsOzoneRandom forestResponse regulationSensitive analysis

Identifiers

PMID39224321

DOI10.1016/j.heliyon.2024.e36303

PMCPMC11367417

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.