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Record W2148000193 · doi:10.1177/104063870201400109

Development of a Semi-Nested Reverse Transcription Polymerase Chain Reaction Assay for the Retrospective Diagnosis of Canine Distemper Virus Infection

2002· article· en· W2148000193 on OpenAlexaff
James B. Stanton, Steven E. Poet, Salvatore Frasca, Dorothee Bienzle, Corrie C. Brown

Bibliographic record

VenueJournal of Veterinary Diagnostic Investigation · 2002
Typearticle
Languageen
FieldMedicine
TopicVirology and Viral Diseases
Canadian institutionsUniversity of Guelph
FundersGeraldine R. Dodge Foundation
KeywordsCanine distemperNested polymerase chain reactionVirologyPolymerase chain reactionReverse transcriptaseReverse transcription polymerase chain reactionVirusBiologyImmunohistochemistryAntibodyReal-time polymerase chain reactionGeneMessenger RNAImmunology

Abstract

fetched live from OpenAlex

Formalin-fixed, paraffin-embedded tissue blocks from 14 dogs were used to test the utility of a newly developed semi-nested reverse transcription polymerase chain reaction (RT-PCR) assay for canine distemper virus (CDV). The results from this new test were compared with those of histopathologic examination, fluorescent antibody detection (FA), and immunohistochemistry (IHC). The semi-nested RT-PCR protocol was used to detect CDV RNA in 9 of the 10 cases that were positive by at least 1 of the immunologic (FA and IHC) methods. Sequence data indicated that the amplified strains of CDV are more closely related to a naturally occurring strain than to a vaccine strain. Thus, the semi-nested RT-PCR assay is a useful diagnostic method applicable to the retrospective diagnosis of CDV infection. Sequence determination may yield molecular epidemiologic information regarding vaccine efficacy.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.648
Threshold uncertainty score0.428

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 head0.052
GPT teacher head0.287
Teacher spread0.234 · 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

Citations13
Published2002
Admission routes1
Has abstractyes

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