Evidence map›Paper›PMID 41193930›Full record

ArticleBioresources and bioprocessing2025

Utilizing machine learning in predicting yields of products in biomass thermochemical conversion processes.

Kareem H Hamad, M Hanafy, A Wafiq

Abstract read
In one paragraph

Article in Bioresources and bioprocessing, 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

3 authors.

Kareem H HamadDepartment of Chemical Engineering, Egyptian Academy for Engineering and Advanced Technology, Cairo Belbes Street, Giza, 3056, Egypt.
M HanafyDepartment of Chemical Engineering, Cairo University, Giza, 12613, Egypt.
A WafiqDepartment of Chemical Engineering, Cairo University, Giza, 12613, Egypt. ahmad.wafiq@eng1.cu.edu.eg.ORCID http://orcid.org/0000-0003-3803-9181

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Agricultural and municipal waste management is one of the most important topics nowadays due to the high rate of waste generation. Bioenergy is one of the key technologies to achieve the global net zero CO

Indexed as

BioenergyGasificationMachine learningPyrolysisWaste management

Identifiers

PMID41193930
PMCPMC12589710

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.