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Record W3213652493

Состояние клеточного иммунитета у свиней разных возрастных групп в патогенезе неспецифической бронхопневмонии

2021· article· ru· W3213652493 on OpenAlexaff
О. В. Крячко, А. П. Шафиев, Л. А. Лукоянова

Bibliographic record

Venuenot available
Typearticle
Languageru
FieldVeterinary
TopicVeterinary medicine and infectious diseases
Canadian institutionsMontreal Police Service
Fundersnot available
KeywordsBronchopneumoniaIncidence (geometry)CullingPopulationPneumoniaMedicineVeterinary medicinePhysiologyBiologyAnimal scienceImmunologyInternal medicinePathologyHerd
DOInot available

Abstract

fetched live from OpenAlex

Up to 80% of slaughtered pigs have foci of pneumonia characteristic of non-specific bronchopneumonia [6, 7]. The incidence in individual farms can reach 100%, but the mortality rate, which is usually observed among suckling piglets, is insignificant. The main damage among the pig population consists of culling  of slaughter products and reducing weight gain. The aim of our study was to study the state of cellular immunity in piglets with nonspecific bronchopneumonia (determination of T-lymphocytes and their subpopulations). The object of the study was piglets of different age groups. The piglets were kept in a large pigbreeding complex.  The research was carried out at one of the large pig farms in the North-Western region of Russia and at the Department of Pathophysiology of the St.  Petersburg State Medical University.  As a result of studies in all piglets with bronchopneumonia, we found a decrease in the total number and absolute value of Tlymphocytes and their  subpopulations (Thelpers and T-suppressors) in all age groups.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0950.015

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 head0.062
GPT teacher head0.338
Teacher spread0.276 · 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
Published2021
Admission routes1
Has abstractyes

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