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Record W7051783365

Prevalencia de Toxoplasmosis en Caninos Domésticos (canis familiaris), en el Barrio San Sebastián, Cantón Latacunga

2020· dissertation· en· W7051783365 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Repository Technical University of Cotopaxi (Universidad Técnica de Cotopaxi) · 2020
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsVacutainerToxoplasma gondiiBreedToxoplasmosisEpidemiologyPopulation
DOInot available

Abstract

fetched live from OpenAlex

The present investigation was carried out in the San Sebastián neighborhood, Latacunga canton, with the taking of 81 samples in canines. The objectives of the work is to determine the prevalence of toxoplasma gondii in domestic canines, according to the clinical assessment of age, sex, race establishing positive or negative cases; proceeding to elaborate a management and prevention instructions; finalizing with the socialization of the results to the residents of the area.
\nFor your diagnosis, an indirect ELISA kit was tested in the Tumbaco Agrocalidad laboratory - Quito, with the help of the local pet owners, opening clinical files with the data received from them, which facilitated the extraction of blood samples in an amount of 3 ml to 5 ml, being placed in a red cap vacutainer tube (without anticoagulant) for the corresponding obtaining of the serum and being sent under the required standards, to process them and emit positive and negative results.
\nTherefore, the prevalence of toxoplasma gondii in the study area is determined with representative values of 13.6%; distributed according to the age of 1 to 11 months with 5.9%; from 1 to 5 years 18.5%; according to sex, in females 12.5%, in males 14.3%; the race with the highest prevalence of positive cases is 20.6% in mestizo dogs, followed by the labrador and German shepherd breed 33.3%, Golden dogs 20%

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.530
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.004
GPT teacher head0.220
Teacher spread0.216 · 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 teacher head, not a consensus.

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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

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