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MANEJO PREVENTIVO CONTRA DOENÇAS GASTRINTESTINAIS PARASITÁRIAS COM O USO DE CLOSANTEL 7,5G EM CAPRINOS E OVINOS CRIADOS A PASTOS NO CAMPUS DA FACULDADE DE ENSINO SUPERIOR E FORMAÇÃO INTEGRAL (FAEF) - GARÇA

2015· article· pt· W2264254058 on OpenAlexaff
T. ROSENDO, Luciana Andréa Pires, T. SAYURI, A. S. ZANARDO, Joerley Moreira, Antonio Antonucci

Bibliographic record

VenueArs Veterinaria · 2015
Typearticle
Languagept
FieldImmunology and Microbiology
TopicParasitic Infections and Diagnostics
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsBiologyHumanitiesVeterinary medicineArtMedicine

Abstract

fetched live from OpenAlex

Parasitos, de modo geral, não causam a morte, porém provocam alterações no desempenho produtivo de seus hospedeiros. Frequentemente, em criações de pequenos ruminantes ocorrem surtos de parasitoses gastrointestinais, em especial provocadas por Nematodas da Ordem Strogylida. Estes agentes potencialmente patogênicos não são eliminados e sim controlados. Para o controle da situação parasitária do rebanho de pequenos ruminantes da FAEF, foi realizado, em Julho de 2015, exames coproparasitológicos quantitativos (OPG) de 20 ovinos e 20 caprinos adultos, para observação de ovos tipo Strongylida. Esta etapa foi denominada Momento Zero (MZ). Repetiu-se o exame dos mesmos animais cinco dias após a administração de Closantel 7,5 g Via Oral na dose de 1 mL para cada 10 Kg. No MZ, foram encontradas prevalências de 75% dos ovinos e 100% dos caprinos com ovos tipo Strongylida e as infecções foram classificadas em moderada (>500 OPG) e alta (>1000 OPG), sendo que 93,3 % dos ovinos e 70% dos caprinos parasitados apresentavam infestação alta . Após o tratamento, as infecções encontradas foram leves (

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)0.002
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 score0.241
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.003

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 head0.040
GPT teacher head0.303
Teacher spread0.263 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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