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Record W2106442065 · doi:10.5539/jfr.v4n1p66

Presence of the Hemolysin Gene of Vibrio mimicus in Fish and Seafood Products in Sonora, Mexico

2014· article· en· W2106442065 on OpenAlexvenueno aff
Iliana Guardiola-Avila, Lorena Noriega-Orozco, Evelia Acedo‐Félix, Angela E. Lara, Ma. Micaela Tapia-Olea

Bibliographic record

VenueJournal of Food Research · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVibrio bacteria research studies
Canadian institutionsnot available
Fundersnot available
KeywordsFood scienceBiologyHemolysinFish <Actinopterygii>Fish productsVibrioMicrobiologyGeneFisheryVirulenceBacteriaGenetics

Abstract

fetched live from OpenAlex

&lt;p&gt;&lt;em&gt;Vibrio mimicus&lt;/em&gt; causes diseases in humans in many countries, and it is highly abundant in aquatic environments. The present study evaluated the presence of &lt;em&gt;V. mimicus&lt;/em&gt; in commonly consumed fish and seafood products in Sonora, México. A total of 262 samples of fish and seafood products were analyzed using PCR to identify the presence of the hemolysin (&lt;em&gt;vmh&lt;/em&gt;) gene of &lt;em&gt;V. mimicus&lt;/em&gt;, which was detected in 32 food samples. The positive food samples included raw (14%) and ready to eat fish and seafood (9%). The leading raw products in which &lt;em&gt;V. mimicus&lt;/em&gt; was detected were crustaceans (57%), but mollusks represented 78% of the positive ready-to-eat products (RTE). Therefore, the presence of the &lt;em&gt;V. mimicus&lt;/em&gt; hemolysin gene in raw and RTE seafood may represent a potential health risk to consumers in northwest México.&lt;/p&gt;

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)0.003
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.341

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.033
GPT teacher head0.312
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 designBench or experimental
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

Citations8
Published2014
Admission routes1
Has abstractyes

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