Evidence map›Paper›PMID 41154716›Full record

ArticleBiology2025

Deep Ensemble Learning and Explainable AI for Multi-Class Classification of Earthstar Fungal Species.

Eda Kumru, Aras Fahrettin Korkmaz, Fatih Ekinci, Abdullah Aydoğan, Mehmet Serdar Güzel, Ilgaz Akata

Abstract read
In one paragraph

Article in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Eda KumruGraduate School of Natural and Applied Sciences, Ankara University, 06830 Ankara, Türkiye.
Aras Fahrettin KorkmazFaculty of Health Sciences Nutrition, Dietetics Department, Şirinevler Campus, İstanbul Kültür University, 34191 Istanbul, Türkiye.ORCID 0000-0002-3827-3018
Fatih EkinciInstitute of Artificial Intelligence, Ankara University, 06100 Ankara, Türkiye.ORCID 0000-0002-1011-1105
Abdullah AydoğanDepartment of Computer Engineering, Faculty of Engineering, Ankara University, 06830 Ankara, Türkiye.
Mehmet Serdar GüzelDepartment of Computer Engineering, Faculty of Engineering, Ankara University, 06830 Ankara, Türkiye.ORCID 0000-0002-3408-0083
Ilgaz AkataDepartment of Biology, Faculty of Science, Ankara University, 06100 Ankara, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current study presents a multi-class, image-based classification of eight morphologically similar macroscopic Earthstar fungal species (

Indexed as

deep learningearthstar fungiensemble modelsexplainable AIfungal classificationmorphological similarity

Identifiers

PMID41154716
PMCPMC12562167

What OpenQuestion holds

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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.