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Record W281643882

Гематологические показатели помесных свиней первого поколения различного физиологического состояния

2014· article· ru· W281643882 on OpenAlexaboutno aff
Кислинская Лариса Геннадьевна, Мешков Виктор Михайлович, Жуков Алексей Петрович

Bibliographic record

VenueИзвестия Оренбургского государственного аграрного университета · 2014
Typearticle
Languageru
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Health
Canadian institutionsnot available
Fundersnot available
KeywordsHematocritPlateletHemoglobinAnimal scienceAndrologyMedicineBiologyImmunologyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

The morphological blood indices have been studied in the first generation of Yorkshire×Landras hogs of Canadian selection aged 2-and 6 months, as well as in sucking replacement sows and pregnant swine, kept on the «Orenburgsky Bekon» LLC. It has been established that the count of erythrocytes, leukocytes and platelets, as well as hemoglobin concentration, reach the lower and mean thresholds by the age of two months. The color index in the representatives of the above production group turned to be the highest one. Later on, there were observed certain increase of the erythrocyte and leukocyte count and stabilization of the number of platelets, though the hemoglobin and hematocrit concentration was reduced. During the gestation period the erythrocyte and leukocyte count was steadily increasing and the number of platelets had reached the maximum values. Alongside with that, the color index was lowering. The highest erythrocyte and leukocyte count, the maximum hematocrit concentration and the least color index have been observed.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.030
GPT teacher head0.246
Teacher spread0.216 · 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
Published2014
Admission routes1
Has abstractyes

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