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Record W2110097858 · doi:10.1177/1040638715580982

Detection of Aleutian mink disease virus DNA and antiviral antibodies in American mink ( <i>Neovison vison</i> ) 10 days postinoculation

2015· article· en· W2110097858 on OpenAlexaff
A. Farid, Irshad Hussain, Irin Arju

Bibliographic record

VenueJournal of Veterinary Diagnostic Investigation · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMinkVirologyAmerican minkAntibodyBiologyVirusImmunology

Abstract

fetched live from OpenAlex

Early detection of infection by the Aleutian mink disease virus (AMDV; Carnivore amdoparvovirus 1) by polymerase chain reaction (PCR) or counterimmunoelectrophoresis (CIEP) has important ramifications in virus eradication programs. A spleen homogenate containing a local isolate of AMDV was injected intraperitoneally into black (n = 44) and sapphire (n = 12) American mink (Neovison vison). Animals were euthanized 10 days postinoculation and anti-AMDV antibodies and AMDV DNA were tested in plasma and 7 organs by CIEP and PCR, respectively. Viral DNA was detected in the plasma, spleen, lymph nodes, bone marrow, and lung samples of all inoculated mink, but was not detected in some small intestine, kidney, and liver samples. In contrast, antibodies were detected in the plasma of 3 sapphire (25.0%) and 19 black (43.2%) mink but not in any of the organs. The sensitivity of the CIEP test on plasma samples was 39.3%, implying that low levels of antibodies during the early stages of virus exposure resulted in failure to detect infection by the CIEP test. We concluded that CIEP is not a reliable test for early detection of AMDV infection in mink and that there were considerable differences among mink of each color type for production of detectable levels of antibodies. PCR tests on samples of saliva, rectal swabs, and feces did not produce consistent and reliable results.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score0.629

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.032
GPT teacher head0.306
Teacher spread0.274 · 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 designBench or experimental
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

Citations31
Published2015
Admission routes1
Has abstractyes

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