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Record W2131577849 · doi:10.4039/n07-053

Virus loads in Douglas-fir tussock moth larvae infected with the <i>Orgyia pseudotsugata</i> nucleopolyhedrovirus

2008· article· en· W2131577849 on OpenAlexaff
Christine M. Thorne, David B. Levin, I. S. Otvos, Nicholas Conder

Bibliographic record

VenueThe Canadian Entomologist · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicViral Infectious Diseases and Gene Expression in Insects
Canadian institutionsNatural Resources CanadaCanadian Forest ServiceUniversity of Victoria
FundersSamsung Advanced Institute of Technology
KeywordsTussockLepidoptera genitaliaBiologyLarvaPupaVirusVirologyVeterinary medicineBotanyMedicine

Abstract

fetched live from OpenAlex

Abstract We studied Orgyia pseudotsugata multiple nucleopolyhedrovirus (OpMNPV) infections in larvae of the Douglas-fir tussock moth, Orgyia pseudotsugata McDunnough (Lepidoptera: Lymantriidae), to determine the quantity of OpMNPV particles that result in mortality. We observed a bimodal pattern of mortality in Douglas-fir tussock moth larvae that ingested diet plugs contaminated with 9.5 OpMNPV occlusion bodies. A mortality peak (80% of total mortality observed) occurred between day 5 and day 11 post ingestion, and a second, smaller mortality peak coincided with the onset of pupation. Virus loads, defined as the number of OpMNPV occlusion bodies in each sample of tested larval homogenate, were quantified using an indirect ELISA method. Virus loads that resulted in mortality were significantly greater than those quantified in larvae that were sacrificed during and after the peak mortality wave (P < 0.004 and P < 0.0001, Mann–Whitney U two-tailed rank test and SPSS®, respectively). This is the first known attempt to differentiate the quantity of virus produced during lethal infections from the virus loads in larvae that survive infection.

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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.012
GPT teacher head0.224
Teacher spread0.212 · 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

Citations2
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueThe Canadian EntomologistSame topicViral Infectious Diseases and Gene Expression in InsectsFrench-language works237,207