Evidence map›Paper›PMID 39244605›Full record

ArticleScientific data2024

GooseDetect

Yuhong Feng, Wen Li, Yuhang Guo, Yifeng Wang, Shengjun Tang, Yichen Yuan, Linlin Shen

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2024. 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. 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

7 authors.

Yuhong FengThe College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, China.
Wen Li *The College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, China. 291089233@qq.com.
Yuhang Guo *The College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, China.
Yifeng WangThe College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, China.
Shengjun TangThe School of Architecture and Urban Planning, Research Institute for Smart Cities, Shenzhen University, Shenzhen, 518060, China.
Yichen YuanTencent Cloud Computing (Beijing) Co., Ltd., Beijing, 100080, China.
Linlin ShenThe College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, China. llshen@szu.edu.cn.ORCID 0000-0003-1420-0815

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large datasets are required to develop Artificial Intelligence (AI) models in AI powered smart farming for reducing farmers' routine workload, this paper contributes the first large lion-head goose dataset GooseDetect

Indexed as

Artificial IntelligenceGeeseAnimalsChinaFarms

Identifiers

PMID39244605
PMCPMC11380660

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.