Evidence map›Paper›PMID 41295016›Full record

ArticleEntropy (Basel, Switzerland)2025

Deep Learning of the Biswas-Chatterjee-Sen Model.

José F S Neto, David S M Alencar, Lenilson T Brito, Gladstone A Alves, Francisco Welington S Lima, Antônio M Filho, Ronan S Ferreira, Tayroni F A Alves

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Entropy (Basel, Switzerland), 2025. 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

8 authors.

José F S NetoDepartamento de Matemática e Física, Universidade Estadual do Maranhão, Caxias 65604-380, MA, Brazil.ORCID 0000-0001-5738-9895
David S M AlencarDepartamento de Matemática e Física, Universidade Estadual do Maranhão, Caxias 65604-380, MA, Brazil.ORCID 0000-0002-0549-8827
Lenilson T BritoDepartamento de Física, Universidade Estadual do Piauí, Teresina 64002-150, PI, Brazil.ORCID 0009-0006-3890-0495
Gladstone A AlvesDepartamento de Física, Universidade Estadual do Piauí, Teresina 64002-150, PI, Brazil.
Francisco Welington S LimaDepartamento de Física, Universidade Federal do Piauí, Teresina 57072-970, PI, Brazil.ORCID 0000-0003-0895-4186
Antônio M FilhoDepartamento de Física, Universidade Estadual do Piauí, Teresina 64002-150, PI, Brazil.ORCID 0000-0002-9419-5595
Ronan S FerreiraDepartamento de Ciências Exatas e Aplicadas, Universidade Federal de Ouro Preto, João Monlevade 35931-008, MG, Brazil.ORCID 0000-0002-7623-1361
Tayroni F A AlvesDepartamento de Física, Universidade Federal do Piauí, Teresina 57072-970, PI, Brazil.ORCID 0000-0001-9937-7980

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigate the critical properties of kinetic continuous opinion dynamics using deep learning techniques. The system consists of

Indexed as

consensus formationdeep learningkinetic continuous opinion dynamicsnon-equilibrium phase transitionsupervised learningunsupervised learning

Identifiers

PMID41295016
PMCPMC12651741

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.