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Record W3013827283 · doi:10.1007/s11273-020-09720-5

Touch too much: aquatic disinfectant and steam exposure treatments can inhibit further spread of invasive bloody-red mysid shrimp Hemimysis anomala

2020· article· en· W3013827283 on OpenAlexafffund
Neil E. Coughlan, Shane O’Hara, Kate Crane, Jaimie T. A. Dick, Hugh J. MacIsaac, Ross N. Cuthbert

Bibliographic record

VenueWetlands Ecology and Management · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Invertebrate Ecology and Behavior
Canadian institutionsUniversity of Windsor
FundersNatural Environment Research CouncilNatural Sciences and Engineering Research Council of Canada
KeywordsAnomalaDisinfectantShrimpBiologyFisheryBiosecurityInvasive speciesEcologyToxicologyVeterinary medicineMedicine

Abstract

fetched live from OpenAlex

Abstract Biosecurity protocols designed to prevent further spread of invasive alien species have become a key component of invader management strategies. However, spread-prevention of invasive peracarids is especially difficult due to ineffectiveness of detection and treatment options. For instance, bloody-red mysid shrimp, Hemimysis anomala , is a high impact ecosystem-destabilising invader, which continues to spread in both Europe and North America. Here, we examine the effectiveness of two commonly used aquatic disinfectants (Virasure ®/ Virkon ® Aquatic), and steam treatments (≥ 100 °C) to kill H. anomala . Specimens were exposed to 1% disinfectant solutions for complete immersion or mist-spray treatments, both lasting 60 s. Steam exposures lasted for 10 or 30 s. All treatments caused 100% mortality of H. anomala . Accordingly, it appears that relatively brief exposures to disinfectant and steam treatments can curtail further H. anomala spread. Therefore, these treatments should be used to decontaminate all equipment, from wetsuits to boats. In particular, steam and disinfectant spray treatments may be useful for decontamination of large, complex equipment, such as vehicles, trailers, outboard motors, or live wells on fishing boats.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.198
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2020
Admission routes2
Has abstractyes

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