Evidence map›Paper›PMID 37901507›Full record

ArticleACS omega2023

Decision Tree-Based Modeling of the Aeration Effectiveness of Circular Plunging Jets.

Diksha Puri, Daeho Lee, Dhananjay Vasant Khankal, Mohindra Singh Thakur, Faisal M Alfaisal, Shamshad Alam, Raj Kumar, Mohammad Amir Khan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Optimising Venturi flume oxygen transfer efficiency using uncertainty-aware decision trees.Water science and technology : a journal of the International Association on Water Pollution Research · 2024
    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

8 authors.

Diksha PuriSchool of Environmental Science, Shoolini University, Solan 173229, Himachal Pradesh, India.
Daeho LeeDepartment of Mechanical Engineering, Gachon University, Seongnam 13120, South Korea.ORCID https://orcid.org/0000-0002-8119-9677
Dhananjay Vasant KhankalDepartment of Mechanical Engineering, Sinhgad College of Engineering, Pune 411041, Maharashtra, India.
Mohindra Singh ThakurDepartment of Civil Engineering, Shoolini University, Solan 173229, Himachal Pradesh, India.
Faisal M AlfaisalDepartment of Civil Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia.
Shamshad AlamDepartment of Civil Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia.
Raj KumarDepartment of Mechanical Engineering, Gachon University, Seongnam 13120, South Korea.ORCID https://orcid.org/0000-0002-6507-7231
Mohammad Amir KhanDepartment of Civil Engineering, Galgotia College of Engineering, Greater Noida 201310, India.ORCID https://orcid.org/0009-0006-9847-2197

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since soft computing has gained a lot of attention in hydrological studies, this study focuses on predicting aeration efficiency (

Identifiers

PMID37901507
PMCPMC10601425

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.