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Record W7027404545

Characterization of Aoudad and desert bighorn sheep microbiomes in association to disease risk

2022· dissertation· en· W7027404545 on OpenAlexaboutno aff

Bibliographic record

VenueThinkTech (Texas Tech University) · 2022
Typedissertation
Languageen
FieldImmunology and Microbiology
TopicMicrobial infections and disease research
Canadian institutionsnot available
Fundersnot available
KeywordsMicrobiomeOvis canadensisBiological dispersalEpizootiologyTransmission (telecommunications)HerdHabitatGenetic diversity
DOInot available

Abstract

fetched live from OpenAlex

Bighorn sheep (Ovis canadensis) inhabit the western United States, northwestern \nMexico, and some of southwestern British Columbia and Alberta. Many herds have \nencountered die-off events thought to be caused by a group of bacterial species \nreferred to as the pneumonia complex, and this complex has been identified as \ntransmissible to bighorn sheep from domestic sheep (Ovis aries) and goats (Capra \nhircus). It is also hypothesized that transmission may occur from Aoudad \n(Ammotragus lervia), an invasive species to Texas that occupies the same habitat as \ndesert bighorn sheep (Ovis canadensis nelsoni) and is in the same subfamily \n(Caprinae). Microbiome dispersal is known to occur in other species through social \nbehavior and shared resources. However, respiratory microbiomes in healthy bighorn \nsheep and aoudad are poorly known but characterizing healthy microbiome \ncomposition is important to understanding transmission as well as the baseline from \nwhich diseased state microbiomes depart. For example, some members of the \npneumonia complex are often found in healthy bighorn sheep, but how their presence \ninfluences overall community structure is unknown. In this study, aoudad and bighorn \nsheep were identified carrying 243 bacterial species in nasal cavities in common and \n202 bacterial species in throat cavities in common. Bacteria associated with the \npneumonia complex were identified in both aoudad and bighorn sheep nasal and throat \nswabs. Nasal microbiomes between aoudad and bighorn sheep are more similar than \nnasal and throat microbiomes within the same animal species. Throat microbiomes \nfollow a similar pattern between species. Spatial-temporal variation between bighorn \nsheep nasal microbiomes was significantly explained between mountain ranges and \ncapture years. The discovery of Mycoplasma ovipneumoniae hosted in aoudad throat \ncavities was also included in this study.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.005
GPT teacher head0.220
Teacher spread0.215 · 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 source (direct Gemma or distilled Codex), 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
Published2022
Admission routes1
Has abstractyes

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