Evidence map›Paper›PMID 35872864›Full record

ArticleBioMed research international2022

Predicting the Growth of F. proliferatum and F. culmorum and the Growth of Mycotoxin Using Machine Learning Approach.

R Srinivasan, T Lalitha, N C Brintha, T N Sterlin Minish, Sami Al Obaid, Sulaiman Ali Alharbi, S R Sundaram, Jenifer Mahilraj

RetractedAbstract readRetracted Publication
PubMed Full text at PMC Publisher
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
–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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

R SrinivasanDepartment of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, 600054 Tamil Nadu, India.
T LalithaDepartment of Computer Science and Engineering, VIT University, Chennai, 632014 Tamil Nadu, India.
N C BrinthaDepartment of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Anandnagar, Krishnankoil, 626126 Tamil Nadu, India.
T N Sterlin MinishDepartment of Computer Science and Engineering, Presidency University, Bengaluru, Yelahanka, 560064 Karnataka, India.
Sami Al ObaidDepartment of Botany and Microbiology, College of Science, King Saud University, PO Box 2455, Riyadh 11451, Saudi Arabia.
Sulaiman Ali AlharbiDepartment of Botany and Microbiology, College of Science, King Saud University, PO Box 2455, Riyadh 11451, Saudi Arabia.
S R SundaramDepartment of Sciences, University of Tennessee Health Science Center, Memphis, TN 38103, USA.
Jenifer MahilrajDepartment of CSE & IT, School of Engineering and Technology, Kebridehar University, Ethiopia.ORCID https://orcid.org/0000-0002-6257-9682

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In distinct parts of the food web, Fusarium culmorum and Fusarium preserving the relationship can germinate and grow zearalenone (ZEA) and fumonisins (FUM), accordingly. Antimicrobial drugs used to combat these fungi and toxic metabolites raise the risk of hazardous residue in food products, as well as the development of fungus tolerance. For modeling fungal growth and pathogenicity under separate water action (

Indexed as

FumonisinsFusariumMycotoxinsZearalenoneMachine LearningTemperatureZea maysFumonisinsMycotoxinsZearalenone

Identifiers

PMID35872864
PMCPMC9307379

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.