Evidence map›Paper›PMID 42193798›Full record

ArticleAnimals : an open access journal from MDPI2026

Automated Activity Tracking and Space Use Monitoring of Captive Jaguars with Machine Learning.

Laura Liv Nørgaard Larsen, Ninette Christensen, Trine Kristensen, Thea Loumand Faddersbøll, Anne Rikke Winther Lassen, Brian Rasmussen, Sussie Pagh, Cino Pertoldi

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. 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.

Laura Liv Nørgaard LarsenDepartment of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220 Aalborg, Denmark.ORCID 0009-0004-4575-1147
Ninette ChristensenDepartment of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220 Aalborg, Denmark.
Trine KristensenDepartment of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220 Aalborg, Denmark.ORCID 0009-0002-0670-4538
Thea Loumand FaddersbøllAalborg Zoo, Mølleparkvej 63, 9000 Aalborg, Denmark.ORCID 0009-0007-2125-1481
Anne Rikke Winther LassenRanders Regnskov, Tropical Zoo, Tørvebryggen 11, 8900 Randers, Denmark.
Brian RasmussenRanders Regnskov, Tropical Zoo, Tørvebryggen 11, 8900 Randers, Denmark.
Sussie PaghDepartment of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220 Aalborg, Denmark.ORCID 0000-0002-1574-3638
Cino PertoldiDepartment of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220 Aalborg, Denmark.ORCID 0000-0002-4644-8981

Funding

Aalborg Zoo Conservation Foundation (AZCF) 07-2025
6 · The paper itself

Abstract

Monitoring both captive animals and wild populations is necessary to ensure adequate animal welfare and wildlife conservation. Existing monitoring tools, e.g., camera traps, enable surveillance, yet analysis can prove time-consuming and labor-intensive if handled manually. The automated nature of machine learning (ML) reduces observer bias and manual workload and improves assessment capacity of behavioral monitoring tools that are often used by staff at zoological institutions. This study investigated the activity and space use of three captive jaguars (

Indexed as

activity budgetactivity patternsanimal welfareheatmapsLabGymPanthera onca

Identifiers

PMID42193798
PMCPMC13203777

What OpenQuestion holds

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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.