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Record W3088323111

Polymorphism in the leptin gene (T3469C) of Different Pig Breeds of the Belgorod Region of Russia

2020· article· en· W3088323111 on OpenAlexaboutno aff
Э. А. Снегин, Olesia Yu. Artemchuk, Anton A. Sychev, Anatolii S. Barkhatov, Sergei R. Yusupov, Elena A. Snegina, Аleksandra Yu. Tishchenko

Bibliographic record

VenueEurasian Journal of Biosciences · 2020
Typearticle
Languageen
FieldNeuroscience
TopicRegulation of Appetite and Obesity
Canadian institutionsnot available
Fundersnot available
KeywordsAlleleAllele frequencyBiologyGeneticsPolymorphism (computer science)Veterinary medicineAnimal scienceGeneMedicine
DOInot available

Abstract

fetched live from OpenAlex

Pigs were RFLP-genotyped for the leptin gene (mutation T3469C). The study examined 185 boars of four breeds (Duroc, Large White, Landrace, and Yorkshire) from the Belgorod region of Russia. In all breeds, the wild T allele is the most frequent, which is responsible for leaner meat and lower fat content. The highest frequency of the C mutant allele was found in the Large White (0.223), and the lowest – in Yorkshire pigs (0.011). At the same time, no homozygotes were found for this allele in Landrace and Yorkshire meat breeds. In general, the allele frequencies of the studied breeds correspond to the frequencies of European and Canadian selection. According to the χ2 test, all studied breeds are in a state of genetic equilibrium according to Hardy-Weinberg.

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)0.000
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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.244
Teacher spread0.199 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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