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Record W2333081327 · doi:10.2527/af.2016-0022

The nasopharyngeal microbiota in feedlot cattle and its role in respiratory health

2016· article· en· W2333081327 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAnimal Frontiers · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMicrobial infections and disease research
Canadian institutionsAgriculture and Agri-Food CanadaUniversity of Calgary
FundersAlberta Livestock and Meat AgencyUniversity of Calgary
KeywordsFeedlotBovine respiratory diseasePneumoniaBiologyRespiratory systemImmunologyMedicineInternal medicineAnimal science

Abstract

fetched live from OpenAlex

The nasopharyngeal microbiota is dynamic and changes dramatically after feedlot placement. Although microbial instability of the respiratory and digestive tracts has been linked to disease in other animals, it is not yet known how these changes impact development of pneumonia in cattle. There is, however, evidence to suggest that the structure of the nasopharyngeal microbiota of cattle is related to the development of pneumonia. Specifically, certain commensal bacteria that have been associated with improved animal health are reduced in the nasopharynx of cattle that develop pneumonia. Better understanding of the functionality of the bovine respiratory microbiota will facilitate new approaches to mitigate pneumonia and develop alternatives to antibiotics. Specifically, studies using sequencing technologies to characterize the interaction of commensal respiratory bacteria with pathogens and the host will aid in targeted approaches to develop respiratory probiotics.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.844
Threshold uncertainty score0.276

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.014
GPT teacher head0.271
Teacher spread0.256 · 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