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Record W2268708622

Streptococcus suis em funcionário de granja suinícola: primeiro isolamento no Brasil

2014· article· pt· W2268708622 on OpenAlexaff
Taíssa Cook Siqueira Soares, Marcelo Gottschalk, Jane Megid, Paulo Eduardo Martins Ribolla, Antônio Carlos Paes

Bibliographic record

VenueVeterinária e Zootecnia · 2014
Typearticle
Languagept
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsStreptococcus suisZoonosisPolymerase chain reactionMicrobiologyVeterinary medicineBiologyVirologyMedicineVirulenceGenetics
DOInot available

Abstract

fetched live from OpenAlex

Streptococcus suis represents a potential zoonosis risk in personnel working in close contact with swines. The purpose of this study was to evidence the human carrier status of S. suis in farm workers belonging to three different pig farms located in three different cities of the state of Sao Paulo, Brazil. Cotton swab samples were taken from tonsils of 28 workers. The S. suis-like strains were identified by polymerase chain reaction, confirmed by sequencing and serotyped by coagglutination technique. For the first time in Brazil, one farm worker was identified as a human carrier of S. suis.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.186
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.008

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 head0.021
GPT teacher head0.286
Teacher spread0.265 · 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 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
Published2014
Admission routes1
Has abstractyes

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