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Record W7126343864

Diversité, distribution et pouvoir pathogène des protostrongylidés chez les ruminants d'Amérique du Nord

2015· dissertation· fr· W7126343864 on OpenAlexaboutno aff
Pauline Bourdette

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2015
Typedissertation
Languagefr
FieldVeterinary
TopicHelminth infection and control
Canadian institutionsnot available
Fundersnot available
KeywordsSubarctic climateDistribution (mathematics)WoodlandArcticDonkeyFaunaLarvaOverwintering
DOInot available

Abstract

fetched live from OpenAlex

Protostrongylids are nematodes which infect lungs, muscles or nervous system of wild or domestic ruminants. In spite of recent advances, some knowledge gaps remain, especially for Protostrongylids of wild ruminants in Canada. Owing to the particularity of the climate and the hosts in arctic areas, a study was conducted in 2007 in Alaska, Yukon Territory, Northwest Territories, Nunavut, Newfoundland and Labrador. During this study, a new species, related to the genus Varestrongylus, has been described. The objective of the thesis was to continue the study about the distribution of Protostrongylids, especially in Woodland Caribou in subarctic and boreal areas (Southern Canada), and in Moose in Alaska, including the novel described species. After a review of literature, the prevalence of Protostrongylids infections was estimated based on isolation of first-stage larvae with a modified Baermann method. Then, the distribution of the different species of Protostrongylids was described based on the identification of the larvae by PCR amplification and ITS2 direct sequencing. Finally, the influence of sex, age, climate or season on Protostrongylids infection was analyzed, in order to identify potential predisposing factors.

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)0.008
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.026
GPT teacher head0.272
Teacher spread0.246 · 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 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
Published2015
Admission routes1
Has abstractyes

Explore more

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