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Record W2602913573 · doi:10.47339/ephj.2014.154

Investigating the effectiveness of washing cantaloupe melon rind in preventing the transference of surface E. coli into melon flesh

2014· article· en· W2602913573 on OpenAlexfundvenueno aff
Adam Chan, Environmental Health BCIT School of Health Sciences, Helen Heacock

Bibliographic record

VenueBCIT Environmental Public Health Journal · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Safety and Hygiene
Canadian institutionsnot available
FundersBritish Columbia Institute of Technology
KeywordsMelonFleshOutbreakEscherichia coliContaminationFood scienceBiologyHorticultureMicrobiologyChemistryBiochemistryEcologyVirology

Abstract

fetched live from OpenAlex


 Cantaloupe melon was the source of a lethal outbreak of Listeria in 2011. This research investigated whether washing a contaminated cantaloupe rind was sufficient in preventing the transferring of Escherichia coli. Hence, the null hypothesis for this study was that there is no association between washing a contaminated cantaloupe melon and the presence of the contamination in the flesh. In this study, 10 cantaloupes were used to produce a sample size of 20 per washed and unwashed treatments. Each of the samples was transferred to EC broth to determine the presence and absence of Escherichia coli (E. coli), the indicator organism that acted as the “outbreak contaminant.” The results showed 100% of the unwashed melons and 80% of the washed melons to have E. coli transferred into the flesh. A Chi Square analysis produced a p-value of 0.035. The study determined that there was a statistically significant association between washing a melon and the presence of E. coli in the melon flesh. The author recommends washing melon rind as a means to prevent foodborne illness caused by surface contaminants.

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)0.008
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.779
Threshold uncertainty score0.401

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.026
GPT teacher head0.236
Teacher spread0.209 · 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

Citations0
Published2014
Admission routes2
Has abstractyes

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