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Record W2625223597 · doi:10.5864/d2017-014

Sous vide style cooking practices linked to <i>Salmonella</i> Enteritidis illnesses

2017· article· en· W2625223597 on OpenAlexaffvenueabout
Lorraine McIntyre, Virginia Jorgenson, Mark Ritson

Bibliographic record

VenueEnvironmental Health Review · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSalmonella and Campylobacter epidemiology
Canadian institutionsVancouver Coastal HealthBC Centre for Disease Control
Fundersnot available
KeywordsSalmonella enteritidisSous videFood scienceSalmonellaAdvertisingBusinessEnvironmental healthMedicineBiology

Abstract

fetched live from OpenAlex

Three Salmonella Enteritidis illnesses investigated in British Columbia, Canada, were potentially linked to consumption of sous vide style cooked foods in 2014. In two separate incidents on different days, two illnesses at one restaurant implicated sous vide eggs. The third illness was linked to a different restaurant serving sous vide duck breast. Inspections of the restaurants revealed inadequate sous vide cooking practices that did not fully cook the foods. Although other high-risk foods were also eaten at these premises (raw oysters and tuna in one restaurant, foods with raw egg dressing and mayonnaise in the second restaurant), and although no leftover foods were available for testing from these meals, the investigation suggested improper sous vide style cooking practices amplified the risk and were the most probable cause of illness.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.394
Threshold uncertainty score0.783

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.064
GPT teacher head0.340
Teacher spread0.276 · 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

Citations9
Published2017
Admission routes3
Has abstractyes

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