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Record W2001620322 · doi:10.1080/0307945031000121130

Evidence for virus closely related to avian myeloblastosis-associated virus type 1 in a commercial stock of chickens

2003· article· en· W2001620322 on OpenAlexaff
J. Lloyd Spencer, Bernhard F. Benkel, Maria Chan, Susan A. Nadin‐Davis

Bibliographic record

VenueAvian Pathology · 2003
Typearticle
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsAgriculture and Agri-Food CanadaCanadian Food Inspection Agency
Fundersnot available
KeywordsBiologyVirologyVirusPhylogenetic treePrimer (cosmetics)Nucleic acid sequencePolymerase chain reactionGeneSequence analysisGeneticsChemistry

Abstract

fetched live from OpenAlex

A two-round nested polymerase chain reaction assay detected Rous associated virus-1 (RAV-1), a prototype laboratory strain of avian leukosis virus of subgroup A (ALV-A). Surprisingly, the test failed to detect three field isolates of ALV-A but did detect virus in one commercial stock of chickens (stock F). The sequence analysis of a core of 290 nucleotides of the env gene gave evidence that the virus from stock F was closely related to avian myeloblastosis-associated virus type one (MAV-1). Other primers were used to amplify and sequence a 1491 nucleotide fragment of the env gene, and a 1245 nucleotide portion of this sequence used for a phylogenetic comparison. These analyses on 10 chickens gave evidence that six were infected with MAV-1-like virus and three with RAV-2 (subgroup B virus), and one chicken with a mixture of the two viruses. Tests with primers designed specifically for the MAV-1 sequence at a pre-determined target site and a second primer designed specifically for RAV-2 at the same site gave further evidence that the viruses isolated from stock F were closely related to one or other of these two viruses.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.065
GPT teacher head0.354
Teacher spread0.288 · 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 source (direct Gemma or distilled Codex), 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

Citations22
Published2003
Admission routes1
Has abstractyes

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