Evidence map›Paper›PMID 34857979›Full record

ArticleAtmospheric research2022

Mimicking atmospheric photochemical modelling with a deep neural network.

Jia Xing, Shuxin Zheng, Siwei Li, Lin Huang, Xiaochun Wang, James T Kelly, Shuxiao Wang, Chang Liu, Carey Jang, Yun Zhu and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Atmospheric research, 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
–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

2 citing papers in PubMed.

  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

14 authors.

Jia XingState Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.
Shuxin ZhengMicrosoft Research Asia, Beijing 100080, China.
Siwei LiSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China.
Lin HuangMicrosoft Research Asia, Beijing 100080, China.
Xiaochun WangState Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.
James T KellyOffice of Air Quality Planning and Standards, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA.
Shuxiao WangState Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.
Chang LiuMicrosoft Research Asia, Beijing 100080, China.
Carey JangOffice of Air Quality Planning and Standards, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA.
Yun ZhuCollege of Environment and Energy, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China.
Jia ZhangMicrosoft Research Asia, Beijing 100080, China.
Jiang BianMicrosoft Research Asia, Beijing 100080, China.
Tie-Yan LiuMicrosoft Research Asia, Beijing 100080, China.
Jiming HaoState Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Fast and accurate prediction of ambient ozone (O

Indexed as

atmospheric photochemistrychemical transport modeldeep learningemissionsmeteorologyozone

Identifiers

PMID34857979
PMCPMC8630640

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.