Evidence map›Paper›PMID 41028842›Full record

ArticleScientific reports2025

Prediction of CO

Haoyi Yao, Yunfeng Wang, Xun Ma, Ming Li, Xin Xiao

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

5 authors.

Haoyi YaoSchool of Energy and Environmental Science, Yunnan Normal University, Kunming, 650500, China.
Yunfeng WangSchool of Energy and Environmental Science, Yunnan Normal University, Kunming, 650500, China. wangyf@ynnu.edu.cn.
Xun MaSchool of Energy and Environmental Science, Yunnan Normal University, Kunming, 650500, China.
Ming LiSchool of Energy and Environmental Science, Yunnan Normal University, Kunming, 650500, China.
Xin XiaoCollege of Environmental Science and Engineering, Donghua University, Shanghai, 201620, China.

Funding

the National Natural Science Foundation of China 12362023the Science and Technology Project of Yunnan University Serving Key Industries FWCY-BSPY2024071the Science and Technology Project of Yunnan University Serving Key Industries FWCY-QYCT2024012
6 · The paper itself

Abstract

To increase the accuracy as well as effectiveness of predicting the level of CO

Indexed as

AgaricalesAlgorithmsCarbon DioxideMemory, Short-TermNeural Networks, ComputerCarbon DioxideCO2 concentrationDeep learningGreenhouseOptimized long and short term memory algorithmPrediction

Identifiers

PMID41028842
PMCPMC12485007

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.