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Record W1997691921 · doi:10.3354/dao069145

Effects of temperature on infectivity and of commercial freezing on survival of the North American strain of viral hemorrhagic septicemia virus (VHSV)

2006· article· en· W1997691921 on OpenAlexaboutno aff
KD Arkush, HL Mendonca, AM McBride, S Yun, TS McDowell, RP Hedrick

Bibliographic record

VenueDiseases of Aquatic Organisms · 2006
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Vectors
Canadian institutionsnot available
FundersWashington State UniversityNational Oceanic and Atmospheric AdministrationU.S. Department of Commerce
KeywordsInfectivitySardineBiologyVirologyVirusBayVeterinary medicineMicrobiologyFisheryMedicineFish <Actinopterygii>Oceanography

Abstract

fetched live from OpenAlex

Temperature affected the growth of the North American strain of viral hemorrhagic septicemia virus (VHSV) in experimentally infected cell cultures and in Pacific sardine Sardinops sagax. In addition, commercial freezing significantly reduced the infectivity of VHSV in tissues of experimentally infected sardine. Isolates of VHSV representing the geographic range of North American VHSV replicated in the EPC (Epithelioma papulosum cyprini) cell line at 10, 15 and 20 degrees C, but the more northern isolates from British Columbia, Canada, demonstrated significantly reduced growth at 20 degrees C compared to VHSV from more southern locations (p <0.001). An injection challenge of Pacific sardine with VHSV from California resulted in 66.7% mortality at a seawater temperature of 13 degrees C compared to 6.7% at 20 degrees C. Commercial blast-freezing of sardine experimentally infected with VHSV reduced median concentrations of virus in the kidney and spleen from 5.25 x 10(6) to 5.5 x 10(3) pfu (plaque-forming units) g(-1). Decreased growth of the California isolate of VHSV at higher temperatures following experimental infection of the sardine and reduced virus survival following commercial freezing of infected sardine are factors that would lessen the risk of transmission of VHSV through frozen baitfishes.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.005
GPT teacher head0.234
Teacher spread0.229 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations51
Published2006
Admission routes1
Has abstractyes

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