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Cryotolerance of <i>Escherichia coli</i> 0157:H7 in Laboratory Media and Food

2001· article· en· W2067680547 on OpenAlexaff
D. Grzadkowska, Mansel W. Griffiths

Bibliographic record

VenueJournal of Food Science · 2001
Typearticle
Languageen
FieldMedicine
TopicViral gastroenteritis research and epidemiology
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsEscherichia coliCold-shock domainFood scienceBiologyShock (circulatory)EnterobacteriaceaeCold storageMicrobiologyBacteriaBiochemistryGeneticsGeneMedicineHorticulture

Abstract

fetched live from OpenAlex

ABSTRACT: The present study compared the cryotolerance of E. coli 0157:H7 strains with nonpathogenic strains of E. coli. Cold shocked (exposed to 10°C for 6 h) and non‐cold shocked (held at 20°C) cultures were frozen at ‐18°C for up to 240 h in brain heart infusion broth, apple juice, frozen yogurt, and ground beef. The E. coli 0157:H7 strains showed the greatest cold shock effect and cryotolerance. The cold shocked E. coli 0157:H7 strains showed a 25 to 35% increase in their ability to survive frozen storage for 24 h at ‐18°C compared to non‐cold shocked cells. The corresponding value for non‐O157 strains was only about 5%. The food matrix changed the cold shock response in all investigated strains. The largest cold shock effect was observed with broth cultures. Cryotolerance of E. coli was not observed in frozen yogurt and ground beef. The effect of prior cold shock was most pronounced in E. coli 0157:H7 strains after 24 h of freezing.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.233

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.029
GPT teacher head0.307
Teacher spread0.278 · 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 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

Citations15
Published2001
Admission routes1
Has abstractyes

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