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Record W7128332882

Molekulární epidemilogie střevních parazitů lišky polární a medvěda ledního v Arktidě

2022· dissertation· cs· W7128332882 on OpenAlexaboutno aff
Eva Myšková

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2022
Typedissertation
Languagecs
FieldImmunology and Microbiology
TopicParasitic Infections and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsArcticThe arcticPhylogeographyArctic foxPredationFauna
DOInot available

Abstract

fetched live from OpenAlex

This thesis is aimed at elucidation of host-parasite dynamics in specific cold-temperature habitats. Particularly, it focuses on predators, namely the Arctic fox (Vulpes lagopus) and presents information about its parasitofauna and phylogeography from several regions of its polar range: namely Svalbard, Greenland and Canada. The thesis is introduced by a short overview of relevant facts on parasites in a cold climate and on the introduction of a host of interest - the Arctic fox. The introduction is followed by a study of parasite diversity in Svalbard foxes. This study is complemented with a parasitic survey of introduced rodents Sibling voles (Microtus levis), possible prey of foxes. The next study describes the Arctic fox parasitofauna in Greenland and Canadian localities and is supplemented by phylogeographical study of Arctic foxes. The following study represents a comparison of the prevalence of parasitic protists of the genus Cryptosporidium in wild canids in central Europe. The final study uncovers the potential threat of introduced animals to Arctic regions by examination of parasitofauna of imported dogs in Svalbard.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.003
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 head0.010
GPT teacher head0.277
Teacher spread0.267 · 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; both teacher heads agree on what is shown here.

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
Published2022
Admission routes1
Has abstractyes

Explore more

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