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Record W4250866943 · doi:10.21065/25631640.3.1

REDUCTION OF CAMPYLOBACTER IN CHICKEN LIVERS USING A LOW ACID PROCESSING AID

2020· article· en· W4250866943 on OpenAlexvenueno aff
Landrum MA, NA Cox, DE Cosby, M.E. Berrang, Arthur Hinton, S. C. Mize, JS Jackson

Bibliographic record

VenueAdvanced Food and Nutritional Sciences · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSalmonella and Campylobacter epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsCampylobacterGentamicinAgarFood scienceChicken LiverInoculationChemistryMicrobiologyBacteriaBiologyAntibioticsBiochemistryHorticulture

Abstract

fetched live from OpenAlex

Liver has become a prime source for Campylobacter outbreaks and products are needed to allow processors a more efficient way of controlling foodborne pathogens. Campylobacter reductions in livers treated with a low pH processing aid (CMS PoultrypHresh), with and without a surfactant (PoultrypHresh Plus) were studied. Chicken livers (n=13/treatment group) were individually inoculated with a C. coli marker strain (107) and each dipped into sterile cups containing 100 mL of water, PoultrypHresh or PoultrypHresh Plus for 15 s, removed and allowed 5 s to drain. Each liver was placed into 50 mL buffered peptone water and hand shaken for 60 s; controls (n=10) same procedure, no treatment. Rinsates were serially diluted and plated onto Campy Cefex agar with 200 ppm gentamicin. Plates were incubated for 48 h at 42°C microaerobically, colonies counted and log transformed. Procedures were replicated 3 times. Significant reductions in treated compared to untreated for PoultrypHresh and PoultrypHresh Plus was 98.1% and 99.4%, respectively and with no change in appearance. Treating with this product may allow processors to meet rising performance standards on poultry livers.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.758
Threshold uncertainty score0.165

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.043
GPT teacher head0.256
Teacher spread0.213 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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