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Record W3111966700 · doi:10.14745/ccdr.v46i1112a07

Health risks of frozen raw breaded chicken products: A local health unit perspective

2020· article· en· W3111966700 on OpenAlexafffundvenueabout
Julia Pinheiro Carvalho, Mike Benusic, Raluca Codat, Roxana Gruescu, Liz Haydu, Lawrence C. Loh

Bibliographic record

VenueCanada Communicable Disease Report · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSalmonella and Campylobacter epidemiology
Canadian institutionsUniversity of TorontoUniversité de Sherbrooke
FundersPublic Health AgencyPublic Health Agency of Canada
KeywordsBusinessContext (archaeology)OutbreakProduct (mathematics)Agency (philosophy)Food productsFood safetyFood scienceMedicineGeographyBiology

Abstract

fetched live from OpenAlex

Raw chicken, including frozen raw breaded chicken products, has been implicated in 18 outbreaks of nontyphoidal salmonellae in Canada since 2017. The Canadian Food and Inspection Agency has since implemented industry requirements, from April 2019, aimed at reducing salmonellosis risks in frozen raw breaded chicken products prior to their distribution in the retail marketplace. This commentary explores key issues identified by a local public health unit during an investigation of two cases of salmonellosis that occurred within the context of a recent Canada-wide outbreak linked to frozen raw breaded chicken products. Consumer handling and preparation practices, product appearance and labelling issues were essential factors in the development of disease. From this front-line perspective, new industry requirements by the Canadian Food and Inspection Agency are analyzed for their potential to reduce salmonellosis risks in such chicken products, while also identifying additional measures that could be implemented to further reduce the risk of product associated outbreaks.

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)0.002
metaresearch head score (Gemma)0.005
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: none
Teacher disagreement score0.099
Threshold uncertainty score0.207

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.006
Scholarly communication0.0040.001
Open science0.0020.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.133
GPT teacher head0.324
Teacher spread0.192 · 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

Citations4
Published2020
Admission routes4
Has abstractyes

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Same venueCanada Communicable Disease ReportSame topicSalmonella and Campylobacter epidemiologyFrench-language works237,207