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Record W2568942403 · doi:10.19052/mv.4048

Tripanosomiasis bovina en ganadería lechera de trópico alto: primer informe de Haematobia irritans como principal vector de T. vivax y T. evansi en Colombia

2017· article· en· W2568942403 on OpenAlexaff
Richard Zapata Salas, Edison Alberto Cardona Zuluaga, Julián Reyes-Vélez, Omar Triana Chávez, Víctor Hugo Peña García, Leonardo Alberto Ríos Osorio, Rolando Barahona Rosales

Bibliographic record

VenueRevista de Medicina Veterinaria · 2017
Typearticle
Languageen
FieldMedicine
TopicTrypanosoma species research and implications
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsBiologyTrypanosoma vivaxStomoxysHaematobia irritansTrypanosoma evansiVeterinary medicineVirologyTrypanosomaTrypanosomiasisMuscidaeBotany

Abstract

fetched live from OpenAlex

Bovine trypanosomiasis is a hemoparasitic disease transmitted in Latin America mainly by biting flies of the family Tabanidae. The study aimed to evaluate infection by <em>Trypanosoma vivax</em> and <em>Trypanosoma evansi</em> in cattle specialized in milk production on a farm and their potential vectors. A direct parasitological and entomological study was performed using microscopy techniques and polymerase chain reaction (PCR) with two molecular markers to differentiate <em>Trypanosoma</em> species in blood samples of cattle and flies. Infection frequency with <em>Trypanosoma vivax</em> and <em>Trypanosoma evansi</em> in cattle was 3.6 and 0%, respectively. Characterization of vectors shows <em>Haematobia irritans</em> as the most frequent fly in the study area (97.1%), followed by <em>Stomoxys calcitrans</em> (2.8%). No horseflies were identified. <em>T. vivax</em> and <em>T. evansi</em> were found in proboscis and thorax-abdomen of biting flies <em>Haematobia irritans</em> and <em>Stomoxys calcitrans</em>, representing an epizootic behavior, atypical in South American countries. Due to its high population density, it is suggested that the <em>Haematobia irritans</em> fly is the main potential vector.

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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.777
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.036
GPT teacher head0.366
Teacher spread0.330 · 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 designBench or experimental
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

Citations6
Published2017
Admission routes1
Has abstractyes

Explore more

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