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Record W2569249039 · doi:10.1128/jcm.02162-16

Sequence Type 631 Vibrio parahaemolyticus, an Emerging Foodborne Pathogen in North America

2017· letter· en· W2569249039 on OpenAlexaboutno aff
Feng Xu, Narjol González‐Escalona, Julie Haendiges, Robert A. Myers, Jana Ferguson, Tracy Stiles, Eric Hickey, Michael J. Moore, John M. Hickey, Christopher Schillaci, Laurn Mank, Kristin DeRosia-Banick, Nicholas Matluk, Amy McConkey Robbins, Robert Sebra, Vaughn S. Cooper, Stephen H. Jones, Cheryl A. Whistler

Bibliographic record

VenueJournal of Clinical Microbiology · 2017
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVibrio bacteria research studies
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious DiseasesU.S. Department of AgricultureNational Oceanic and Atmospheric AdministrationNational Institutes of HealthNational Science Foundation
KeywordsVibrio parahaemolyticusMicrobiologyBiologyPathogenFoodborne pathogenVibrionaceaeType (biology)VirologyBacteriaEcologyGeneticsListeria monocytogenes

Abstract

fetched live from OpenAlex

ibrio parahaemolyticus is the leading seafood-transmitted bacterial pathogen worldwide. It causes gastroenteritis and, rarely, lethal septicemia. The estimated 45,000 annual cases of foodborne V. parahaemolyticus infections in the United States are concerning because their incidences are rising despite control measures, in part due to the impact of changing climate on pathogen abundance and distribution (1; https://www.cdc.gov/vibrio/). Although the pandemic complex of strains of sequence type 3 (ST3) (serotype O3:K6) has dominated infections worldwide (2), in the United States and Canada, the most prevalent clinical strains are of ST36 (O4:K12), which recently spread from the Pacific into the Atlantic (3,–8).

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.003
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 head0.102
GPT teacher head0.419
Teacher spread0.317 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations33
Published2017
Admission routes1
Has abstractyes

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