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Record W1986137007 · doi:10.1080/10408398.2011.555017

Review of Canadian Literature to Estimate Risks Associated with<i>Salmonella</i>in Broilers from Retail to Consumption in Canadian Homes

2013· review· en· W1986137007 on OpenAlexafffundabout
Hanan Smadi, Jan M. Sargeant

Bibliographic record

VenueCritical Reviews in Food Science and Nutrition · 2013
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicFood Safety and Hygiene
Canadian institutionsUniversity of GuelphMcMaster University
FundersCanadian Institutes of Health ResearchHealth CanadaPublic Health Agency of CanadaU.S. Department of AgricultureU.S. Environmental Protection Agency
KeywordsSalmonellaConsumption (sociology)Food scienceBusinessBiotechnologyEnvironmental healthBiologyMedicineBacteria

Abstract

fetched live from OpenAlex

The objective was to review the literature related to the risk of salmonellosis from chicken consumed in private homes in Canada. The pathway of concern was retail-to-consumption at private homes due to the direct link between this pathway and public health. A qualitative review was conducted by searching Canadian governmental agencies' webpages, published peer-reviewed journals, and by contacting experts in the field. Overall, with the data available, estimating risk from Salmonella in chicken breasts using only Canadian information was limited. Enumeration data for Salmonella in retail raw chicken at different regions across Canada are needed to be able to generalize the risk of salmonellosis in the Canadian population. Few Canadian surveys were found to describe consumers' food safety behaviors at Canadians' private homes. Observational designs to study food safety practices and Canadian consumers' behavior in private kitchens are needed to ensure that consumer behavior is consistent with consumer perceptions of their behavior. The results of such studies will give valuable input for designing educational programs needed to increase awareness of safe food handling practices by Canadian consumers when preparing food at their homes.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.982
Threshold uncertainty score0.725

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.006
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 head0.127
GPT teacher head0.357
Teacher spread0.231 · 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 designOther design
Domainnot available
GenreReview

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

Citations5
Published2013
Admission routes3
Has abstractyes

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