Evidence map›Paper›PMID 35664848›Full record

ArticleFrontiers in veterinary science2022

Evaluating Cognitive Enrichment for Zoo-Housed Gorillas Using Facial Recognition.

Otto Brookes, Stuart Gray, Peter Bennett, Katy V Burgess, Fay E Clark, Elisabeth Roberts, Tilo Burghardt

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
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.

Otto BrookesDepartment of Computer Science, Faculty of Engineering, University of Bristol, Bristol, United Kingdom.
Stuart GrayCentre for Entrepreneurship, Faculty of Engineering, University of Bristol, Bristol, United Kingdom.
Peter BennettDepartment of Computer Science, Faculty of Engineering, University of Bristol, Bristol, United Kingdom.
Katy V BurgessSchool of Psychological Science, Faculty of Life Sciences, University of Bristol, Bristol, United Kingdom.
Fay E ClarkSchool of Psychological Science, Faculty of Life Sciences, University of Bristol, Bristol, United Kingdom.
Elisabeth RobertsBristol Vet School, Faculty of Life Sciences, University of Bristol, Bristol, United Kingdom.
Tilo BurghardtDepartment of Computer Science, Faculty of Engineering, University of Bristol, Bristol, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of computer technology within zoos is becoming increasingly popular to help achieve high animal welfare standards. However, despite its various positive applications to wildlife in recent years, there has been little uptake of machine learning in zoo animal care. In this paper, we describe how a facial recognition system, developed using machine learning, was embedded within a cognitive enrichment device (a vertical, modular finger maze) for a troop of seven Western lowland gorillas (

Indexed as

animal welfarecognitive enrichmentfacial recognitiongorillasmachine learningzoology

Identifiers

PMID35664848
PMCPMC9161820

What OpenQuestion holds

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LicenceCC BY
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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.