Evidence map›Paper›PMID 40442128›Full record

ArticleScientific reports2025

Research on early warning model of coal spontaneous combustion based on interpretability.

Huimin Zhao, Xu Zhou, Jingjing Han, Yixuan Liu, Zhe Liu, Shishuo Wang

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Huimin ZhaoSchool of Science, North China University of Science and Technology, Tangshan, 063210, Hebei, China.
Xu ZhouSchool of Science, North China University of Science and Technology, Tangshan, 063210, Hebei, China. sxzhouxu@126.com.
Jingjing HanSchool of Artificial Intelligence, North China University of Science and Technology, Tangshan, 063210, Hebei, China.
Yixuan LiuSchool of Economics and Management, North China University of Science and Technology, Tangshan, 063210, Hebei, China.
Zhe LiuSchool of Emergency Management and Safety Engineering, North China University of Science and Technology, Tangshan, 063210, Hebei, China.
Shishuo WangSchool of Science, North China University of Science and Technology, Tangshan, 063210, Hebei, China.

Funding

The Innovation and Entrepreneurship Training Program for College Students 202410081036The Tangshan Basic Research Science and Technology Program 22130209H
6 · The paper itself

Abstract

Predicting the temperature of the coal spontaneous combustion (CSC) is essential for preventing and managing coal mine fires. In this paper, a Rough Set-Stacking-SHapley Additive Explanations (RS-Stacking-SHAP) prediction model of CSC based on grid search optimized is proposed. Compared with the traditional machine learning model, the model has better prediction accuracy and generalization ability. Based on the data collected from experimental coal samples in Lijiahao Coal Mine, rough set algorithm was used for attribute approximation to identify O

Indexed as

Coal spontaneous combustionFeature interaction interpretationRough set algorithmSHAPStacking integration architecture

Identifiers

PMID40442128
PMCPMC12122707

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.