Evidence map›Paper›PMID 42355056›Full record

ArticleMaterials (Basel, Switzerland)2026

A Stacking Ensemble-Based Framework for Predicting the Compressive Strength of Microwave-Cured Geopolymers.

Sarah Nahd Kadhim, Ahmet Emin Kurtoğlu, Derya Bakbak, Abdulkadir Çevik, Ali İhsan Özçetin

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2026. 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.

Sarah Nahd KadhimDepartment of Civil Engineering, Gaziantep University, Gaziantep 27310, Türkiye.ORCID 0000-0002-8674-104X
Ahmet Emin KurtoğluDepartment of Civil Engineering, Iğdır University, Iğdır 76000, Türkiye.
Derya BakbakGrand National Assembly of Türkiye (TBMM), Ankara 06543, Türkiye.ORCID 0000-0002-3771-8812
Abdulkadir ÇevikDepartment of Civil Engineering, Gaziantep University, Gaziantep 27310, Türkiye.
Ali İhsan ÖzçetinŞahinbey Municipality, Şahinbey, Gaziantep 27070, Türkiye.ORCID 0000-0002-8551-3061

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microwave curing offers energy-efficient geopolymer synthesis, yet optimizing compressive strength remains challenging due to complex variable interactions. This study develops an interpretable stacking ensemble surrogate model to predict the strength of microwave-cured geopolymers. A literature-derived dataset of 235 observations was systematically compiled from literature (2010-2025), covering diverse aluminosilicate precursors, activator concentrations, and curing parameters. The framework integrates linear, kernel, and tree-based base models via a linear meta-learner to enhance generalization. Unlike conventional models, source-aware validation was implemented to ensure reliability across heterogeneous studies. The stacking ensemble significantly outperformed standalone models, achieving a coefficient of determination (

Indexed as

compressive strengthgeopolymermachine learningmicrowave curingstacking ensemblesustainable construction

Identifiers

PMID42355056
PMCPMC13301972

What OpenQuestion holds

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Registered trials

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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.