Evidence map›Paper›PMID 40922389›Full record

ArticlePest management science2026

Validating a rapid algorithmic weed hazard ranking method.

Christopher E Buddenhagen, Graeme Bourdôt, Shona Lamoureaux, Alasdair Noble, Murray I Dawson, Craig B Phillips

Abstract readValidation Study
In one paragraph

Article in Pest management science, 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

6 authors.

Christopher E Buddenhagen *AgResearch, Ruakura Research Centre, Hamilton, New Zealand.ORCID https://orcid.org/0000-0002-3016-1054
Graeme BourdôtAgResearch Ltd, Tuhiraki, Lincoln, New Zealand.ORCID https://orcid.org/0000-0002-6361-8647
Shona LamoureauxAgResearch Ltd, Tuhiraki, Lincoln, New Zealand.
Alasdair NobleAgResearch Ltd, Tuhiraki, Lincoln, New Zealand.
Murray I DawsonManaaki Whenua Landcare Research, Lincoln, New Zealand.
Craig B Phillips *AgResearch Ltd, Tuhiraki, Lincoln, New Zealand.

Funding

Ministry for Business Innovation and Employment
6 · The paper itself

Abstract

backgroundConventional weed risk assessments (WRAs) are time-consuming and often constrained by species-specific attribute data gaps. We present a validated, algorithmic alternative, the

resultsThe

conclusionThe

Indexed as

AlgorithmsPlant WeedsWeed ControlArtificial IntelligenceCaliforniaNew ZealandRisk Assessmentadventivealienharmfulinvasiverisk assessment

Identifiers

PMID40922389
PMCPMC12713730

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.