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Record W3133085365 · doi:10.21423/aabppro20183255

Correlation of carbohydrate larval antigen (CarLA®) antibody response with parasitism in Ontario sheep

2018· article· en· W3133085365 on OpenAlexaffabout
Emma Borkowski, Niel A. Karrow, Paula Menzies, Jacob Avula, Brandon N. Lillie, Andrew S. Peregrine

Bibliographic record

VenueAmerican Association of Bovine Practitioners Conference Proceedings · 2018
Typearticle
Languageen
FieldVeterinary
TopicHelminth infection and control
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsBiologyParasitismTemperate climateAntibodyNematodeGrazingImmunityImmune systemAntigenLarvaImmunologyEcologyVeterinary medicineHost (biology)Medicine

Abstract

fetched live from OpenAlex

Gastrointestinal nematode parasites (GINs) are a significant cause of morbidity, mortality and loss of productivity on North American sheep farms. In light of the rising prevalence of anthelmintic resistance, selection of animals with a superior immune response to GINs has received considerable attention. In New Zealand, measurement of salivary antibody to a carbohydrate larval antigen (CarLA®, AgResearch Inc.) has been used successfully to identify sheep with superior immunity. However, climate and GIN epidemiology in Ontario are different from New Zealand, and sheep are generally not exposed to GINs for several months during housing over winter. To date, CarLA® has not been evaluated in North America. The purpose of this study was to determine whether Car LA® correlates with parasite burden under temperate grazing conditions in Ontario.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.088
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

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

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 head0.018
GPT teacher head0.297
Teacher spread0.279 · 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.

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

Citations0
Published2018
Admission routes2
Has abstractyes

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