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Record W209738690

Recurrence report of Ehrlichia canis in dog blood samples in Cali, Colombia.

2008· article· en· W209738690 on OpenAlexaboutno aff
R. F. Silva-Molano, N. Sánchez-Ucrós, A. M. Loaiza-Echeverri

Bibliographic record

VenueRepositorio Universidad de Caldas · 2008
Typearticle
Languageen
FieldImmunology and Microbiology
TopicRabies epidemiology and control
Canadian institutionsnot available
Fundersnot available
KeywordsEhrlichia canisCanisVirologyMedicineGeographyVeterinary medicineBiologyImmunologyEcologyAntibodySerology
DOInot available

Abstract

fetched live from OpenAlex

RESUMEN: El presente estudio reporta la presentación de la Ehrlichiosis canina en la ciudad de Cali- Colombia, de acuerdo con la raza, sexo y edad de los perros. Bajo las condiciones de un estudio de tipo descriptivo retrospectivo cuyas fuentes de información fueron secundarias, representadas en 101 muestras sanguíneas de caninos, analizadas mediante el método de ELISA de un test comercial para la detección de anticuerpos específicos contra Ehrlichia canis, se encontró que los caninos de raza Labrador, Poodle y Schnawzer fueron las razas con mayor presencia de anticuerpos contra la enfermedad. Caninos de ambos sexos y desde los 6 hasta los 144 meses de edad fueron afectados por la enfermedad. Bajo las condiciones del presente estudio, se puede concluir que el agente causal de la Ehrlichiosis canina está afectando la población canina de la ciudad de Cali, y los perros de raza Labrador fueron los más afectados por el parásito, al igual que los machos en edad adulta.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.211

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.248
Teacher spread0.235 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2008
Admission routes1
Has abstractyes

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