Evidence map›Paper›PMID 38894454›Full record

ArticleSensors (Basel, Switzerland)2024

A Novel Method for Full-Section Assessment of High-Speed Railway Subgrade Compaction Quality Based on ML-Interval Prediction Theory.

Zhixing Deng, Wubin Wang, Linrong Xu, Hao Bai, Hao Tang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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.

Zhixing DengDepartment of Civil Engineering, Central South University, Changsha 410075, China.
Wubin WangNational Engineering Research Center of Geological Disaster Prevention Technology in Land Transportation, Southwest Jiaotong University, Chengdu 611731, China.
Linrong XuDepartment of Civil Engineering, Central South University, Changsha 410075, China.
Hao BaiSichuan Expressway Construction & Development Group Co., Ltd., Chengdu 610041, China.
Hao TangSichuan Expressway Construction & Development Group Co., Ltd., Chengdu 610041, China.

Funding

National Natural Science Foundation of China 42172322National Natural Science Foundation of China U2268213
6 · The paper itself

Abstract

The high-speed railway subgrade compaction quality is controlled by the compaction degree (

Indexed as

Bootstrapinterval prediction theorymachine learningsubgrade compaction qualityρdmax prediction

Identifiers

PMID38894454
PMCPMC11175314

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.