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Record W2181308468

The Determination Prevalence of Salmonella in The Shrimp Supply in Khuzestan Province, Iran

2012· article· en· W2181308468 on OpenAlexaboutno aff
M. J. Sana

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSalmonella and Campylobacter epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsSalmonellaShrimpSerotypeContaminationFood contaminantBiologyVeterinary medicineShellfishFood scienceBacteriaMicrobiologyMedicineFish <Actinopterygii>FisheryAquatic animalEcology
DOInot available

Abstract

fetched live from OpenAlex

Salmonella is one of the most important food pathogens and its different serotypes enter the body through food and makes food infections in consumers. In some countries, Including Sweden and Canada ranked first among the bacteria that cause food infections. Accordingly is one of the most important problems shrimp and its products to be contaminated with Salmonella. In this study, 245 samples were taken randomly of the shrimp consumed in the Khuzestan province. Then samples sent to laboratories in an ice and positive cases of Salmonella contamination were found by using conventional culture methods (pre-enrichment, enrichment, culture stage in selective plating and biochemical culture) and then confirmed by serological tests. The total samples was assessed 33 samples was positive and 212 samples was negative for Salmonella and was determined 13.4% prevalence of Salmonella contamination of shrimp supply in Khuzestan Province.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.257
Teacher spread0.227 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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