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Record W2042145919 · doi:10.4322/rbcv.2014.238

Distribuição dos serovares de leptospira em caninos clinicamente suspeitos no Rio de Janeiro

2007· article· pt· W2042145919 on OpenAlexaff
Isabel Maria Alexandre Freire, Renato Varges, Yuri N. P. Gomes, Cecília Riscado Pombo, Walter Lilenbaum

Bibliographic record

VenueRevista Brasileira de Ciência Veterinária · 2007
Typearticle
Languagept
FieldImmunology and Microbiology
TopicLeptospirosis research and findings
Canadian institutionsCytodiagnostics (Canada)
Fundersnot available
KeywordsLeptospiraGeographyLeptospirosisBiologyVirology

Abstract

fetched live from OpenAlex

A leptospirose é uma doença de distribuição mundial que acomete várias espécies de animais domésticos e de vidaselvagem. Diversos serovares podem infectar o cão, podendo ou não determinar manifestações clínicas. Assim, oobjetivo do presente estudo foi relatar resultados de provas de imunodiagnóstico em cães clinicamente suspeitos deleptospirose no município do Rio de Janeiro e adjacências. Foram analisadas pelo teste da Soroaglutinação Microscópicacom Antígenos Vivos 120 amostras de cães com clínica sugestiva de leptospirose aguda no período de março anovembro de 2004. Destas, 88 (73,3%) foram reativas. Baseando-se nos títulos alcançados, 25 animais (20,8%)apresentaram título mínimo de 800, 63 (52,5%) entre 200 e 400, e 32 animais (26,7%) inferiores a 200, sendo portantoconsideradas negativas. No que se refere à distribuição por serovares, verificou-se amplo predomínio para a amostraIcterohaemorrhagiae, com 60 amostras reativas (50%), seguido de Copenhageni, com 19 amostras reativas (15,8%) eCanicola, com nove amostras reativas (7,5%). Ao somar-se Icterohaemorrhagiae e Copenhageni, por serem ambasestirpes do mesmo sorogrupo, obtiveram-se 79 amostras sororreativas para este sorogrupo, o que corresponde a78,4% das amostras reativas e 57,5% dos animais estudados. Nenhuma amostra apresentou sororreatividade para osserovares Autumnalis, Bataviae, Grippotyphosa, Pomona ou Bratislava.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient 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 score0.375
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.004

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 head0.029
GPT teacher head0.321
Teacher spread0.292 · 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

Citations8
Published2007
Admission routes1
Has abstractyes

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