Evidence map›Paper›PMID 41828940›Full record

ArticleAnimals : an open access journal from MDPI2026

Detect and Trace: An Australian Field Trial Using Machine-Learning Tools to Combat Illegal Wildlife Trade.

Phoebe Meagher, Joseph Cincotta, Ha Tran Hong Phan, Kaikai Shen, Brad Dolman, Kate J Brandis, Daniele Pelliccia, Christopher M Poole, Kimberly Vinette Herrin, Justine K O'Brien and 4 more

Abstract read
PubMed Full text at PMC Publisher
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

14 authors.

Phoebe MeagherTaronga Institute of Science and Learning, Taronga Conservation Society Australia, Mosman, NSW 2088, Australia.
Joseph CincottaTaronga Institute of Science and Learning, Taronga Conservation Society Australia, Mosman, NSW 2088, Australia.ORCID 0000-0002-0876-1512
Ha Tran Hong PhanRapiscan Systems Ltd., Homebush, Sydney, NSW 2041, Australia.
Kaikai ShenRapiscan Systems Ltd., Homebush, Sydney, NSW 2041, Australia.ORCID 0000-0002-5956-501X
Brad DolmanDepartment of Climate Change, Energy, The Environment and Water, Environmental Crime Section, Gadigal Country, Sydney, NSW 2000, Australia.
Kate J BrandisCentre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, University of New South Wales, Kensington, NSW 2052, Australia.ORCID 0000-0001-6807-0142
Daniele PellicciaInstruments & Data Tools Pty Ltd., Vermont, VIC 3133, Australia.
Christopher M PooleRadiation Analytics Pty Ltd., Sunshine Coast, QLD 4551, Australia.
Kimberly Vinette HerrinTaronga Institute of Science and Learning, Taronga Conservation Society Australia, Mosman, NSW 2088, Australia.
Justine K O'BrienTaronga Institute of Science and Learning, Taronga Conservation Society Australia, Mosman, NSW 2088, Australia.ORCID 0000-0003-2011-9626
Brendan E AllmanRapiscan Systems Ltd., Homebush, Sydney, NSW 2041, Australia.
Debashish MazumderAustralian Nuclear Science and Technology Organisation, Lucas Heights, NSW 2234, Australia.ORCID 0000-0002-6692-5271
Patricia S GaddAustralian Nuclear Science and Technology Organisation, Lucas Heights, NSW 2234, Australia.
Vanessa PirottaTaronga Institute of Science and Learning, Taronga Conservation Society Australia, Mosman, NSW 2088, Australia.

Funding

Taronga Conservation Society Australia Foundation NA
6 · The paper itself

Abstract

The illegal wildlife trade is a global problem that continues to harm individuals, wildlife populations, ecosystems, and humans at an increasing rate. While efforts are underway globally to address the issue through a coordinated approach, the testing of new technologies in real-world settings remains limited. Here, we present the outcomes of an opportunistic Australian trial that tested two machine-learning tools during real-world seizures, including associated radiation-exposure safety data. During the seven-month trial, 116 animals were intercepted, representing reptiles and crustacea across five Genera:

Indexed as

AIartificial intelligencetechnologytradewildlifewildlife trade

Identifiers

PMID41828940
PMCPMC12985291

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.