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Record W2091389780 · doi:10.1177/1098612x13475465

Preliminary evaluation of a quantitative polymerase chain reaction assay for diagnosis of feline immunodeficiency virus infection

2013· article· en· W2091389780 on OpenAlexaff
Mélanie Ammersbach, Susan E. Little, Dorothee Bienzle

Bibliographic record

VenueJournal of Feline Medicine and Surgery · 2013
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsBytown Cat HospitalUniversity of Guelph
Fundersnot available
KeywordsFeline immunodeficiency virusCATSVirologyVaccinationGold standard (test)AntibodyPolymerase chain reactionReal-time polymerase chain reactionBiologyVirusMedicineLentivirusImmunologyViral diseaseGeneInternal medicine

Abstract

fetched live from OpenAlex

Enzyme-linked immunosorbent assay (ELISA) has high sensitivity and specificity for detection of feline immunodeficiency virus (FIV) antibodies, but does not distinguish between infection and vaccination. Real-time quantitative PCR (qPCR) assays may distinguish infected from vaccinated cats. Performance of a commercial qPCR assay was assessed with blood samples from 29 FIV-infected non-vaccinated, 26 FIV-uninfected vaccinated and 35 FIV-uninfected non-vaccinated cats. FIV infection status of cats was assigned based on a combination of vaccination and medical history, prevention of contact with potentially infected cats and two FIV antibody ELISA results. Test sensitivity and specificity were determined against this gold standard. The qPCR test yielded positive results in samples from 23/29 FIV-infected non-vaccinated, 2/26 FIV-uninfected vaccinated and 0/35 FIV-uninfected non-vaccinated cats. It was concluded that the qPCR test was moderately sensitive and highly specific for the diagnosis of FIV infection, and that it may be suitable for ruling out FIV infection in cats with a positive antibody ELISA result and unknown vaccination history.

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)0.004
metaresearch head score (Gemma)0.003
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 score0.382
Threshold uncertainty score0.342

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
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 head0.071
GPT teacher head0.355
Teacher spread0.284 · 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

Citations12
Published2013
Admission routes1
Has abstractyes

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