Evidence map›Paper›PMID 40521481›Full record

ArticleACS omega2025

Prediction of Geothermal Heat Flow Using XGBoost with the Applications in Coupling Coalbed Methane and Geothermal Resource.

Hongyang Zhang, Kewen Li, Shuaihang Shi, Jifu He, Cong Jin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 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

5 authors.

Hongyang ZhangSchool of Energy Resources, China University of Geosciences (Beijing), 29 Xueyuan Road, Beijing 100083, China.
Kewen LiSchool of Energy Resources, China University of Geosciences (Beijing), 29 Xueyuan Road, Beijing 100083, China.ORCID https://orcid.org/0000-0002-3419-2130
Shuaihang ShiSchool of Energy Resources, China University of Geosciences (Beijing), 29 Xueyuan Road, Beijing 100083, China.
Jifu HeSchool of Energy Resources, China University of Geosciences (Beijing), 29 Xueyuan Road, Beijing 100083, China.
Cong JinSchool of Energy Resources, China University of Geosciences (Beijing), 29 Xueyuan Road, Beijing 100083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reservoir temperature is a critical factor influencing the formation and production of coal, coalbed methane (CBM), and geothermal heat flow (GHF), with GHF serving as a key indicator of subsurface thermal conditions. In this study, an extreme gradient boosting (XGB) model is developed to predict GHF in China using 12 geological and geophysical features. The model is trained on both global and China-specific data sets and evaluated using MAE, RMSE, and

Identifiers

PMID40521481
PMCPMC12163780

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.