MétaCan
Menu
Back to cohort
Record W2108579674 · doi:10.3382/japr.2011-00345

Investigation of avian influenza viral ribonucleic acid destruction in poultry co-products under rendering conditions

2012· article· en· W2108579674 on OpenAlexaboutno aff
A.B. Leaphart, Thomas R. Scott, S.D. Chambers, W.C. Bridges, A.K. Greene

Bibliographic record

VenueThe Journal of Applied Poultry Research · 2012
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsnot available
FundersFats and Proteins Research Foundation
KeywordsInfluenza A virus subtype H5N1Rendering (computer graphics)Avian influenza virusVirusVirologyRNABiologyViral sheddingFood scienceChemistryGeneBiochemistry

Abstract

fetched live from OpenAlex

This study was conducted to determine the time and temperature requirements needed to destroy avian influenza viral RNA in high-fat poultry tissues and to determine whether those conditions are met by rendering cooking processes. Because rendered poultry products are used worldwide for feed ingredients, it is imperative to validate the destruction of avian influenza viral RNA to ensure the safety of rendering co-products and avoid cyclic reinfection and disease in poultry, livestock, and potentially humans. Typical high-fat poultry offal was spiked with a known quantity of chemically inactivated, intact H5N9 low-pathogenicity avian influenza viral RNA. After subjecting the material to a variety of thermal doses, RNA was extracted from the material and assayed for the presence of the virus by using real-time reverse-transcription PCR. With thermal treatment at 100°C for 30 s or longer or at 110°C and above for 15 s or longer, the RNA of low-pathogenicity avian influenza virus A/Turkey/Wisconsin/68 H5N9, equivalent to 6 log10 of viable virus, was destroyed within the poultry rendering materials. These thermal treatment conditions are well below the range of temperatures and times used for rendering poultry carcasses and offal in the United States and Canada, where rendered materials are subjected to a heat treatment for a minimum of 30 min with a cooker exit temperature of not less than 118°C.

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)0.007
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.474
Threshold uncertainty score0.829

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.235
GPT teacher head0.446
Teacher spread0.211 · 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

Citations4
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Applied Poultry ResearchSame topicInfluenza Virus Research StudiesFrench-language works237,207