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Detection of Avian Pneumovirus in Wild Canada Geese (Branta canadensis) and Blue-Winged Teal (Anas discors)

2002· article· en· W2125757883 on OpenAlexaboutno aff
Richard S. Bennett, B. McComb, Shin Hj, M. Kariuki Njenga, Κ. V. Nagaraja, David A. Halvorson

Bibliographic record

VenueAvian Diseases · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Virus Infections Studies
Canadian institutionsnot available
FundersUniversity of Minnesota
KeywordsAnasBiologyGooseBrantaVirologyZoologyEcology

Abstract

fetched live from OpenAlex

Choanal cleft swab samples from 770 wild Canada geese (Branta canadensis) and 358 blue-winged teal (Anas discors), captured for relocation or banding, were examined for the presence of avian pneumovirus (APV) RNA by reverse transcription (RT)-polymerase chain reaction (PCR) and for virus isolation. The swab samples were pooled into groups of 5 or 10. Sixty eight of 102 (66.7%) pooled goose samples were RT-PCR positive for APV RNA. Thirteen of 52 (25.0%) pooled blue-winged teal samples were RT-PCR positive for APV RNA. APV RNA-positive samples were inoculated onto chick embryo fibroblasts (CEF) and QT-35 cells. Infectious APV was isolated from five Canada goose pooled samples in CEF and from one Canada goose pool in QT-35 cells but not from blue-winged teal.

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)0.000
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 score0.929
Threshold uncertainty score0.142

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
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 head0.014
GPT teacher head0.193
Teacher spread0.178 · 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

Citations38
Published2002
Admission routes1
Has abstractyes

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